upload jais
Browse files- adapter_config.json +25 -0
- adapter_model.bin +3 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +2195 -0
- training_args.bin +3 -0
adapter_config.json
ADDED
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "core42/jais-13b",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layers_pattern": null,
|
10 |
+
"layers_to_transform": null,
|
11 |
+
"lora_alpha": 16,
|
12 |
+
"lora_dropout": 0.1,
|
13 |
+
"modules_to_save": null,
|
14 |
+
"peft_type": "LORA",
|
15 |
+
"r": 64,
|
16 |
+
"rank_pattern": {},
|
17 |
+
"revision": null,
|
18 |
+
"target_modules": [
|
19 |
+
"c_attn",
|
20 |
+
"c_fc2",
|
21 |
+
"c_fc",
|
22 |
+
"c_proj"
|
23 |
+
],
|
24 |
+
"task_type": "CAUSAL_LM"
|
25 |
+
}
|
adapter_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:14cfd66e8a2168018f7cee915c77a7f72a176a95015f462ea59e9274161b10df
|
3 |
+
size 891422093
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b2157954667bed892ea28d21e858e57216313505d9e17e81b3717883bcb5eac0
|
3 |
+
size 891332072
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f1ebdaad93000fc9ed403e3446a8e588981a9eedd7d2794658707385a242af87
|
3 |
+
size 1782797317
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:769b232ab6cddb59b0251eca932104fb087f29129c612622b4c26f7232293deb
|
3 |
+
size 14575
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:711028aef7c234a7b4df66557e96b7441ee8c4572f2f95417f3784ab9b766566
|
3 |
+
size 627
|
trainer_state.json
ADDED
@@ -0,0 +1,2195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0000058823875435,
|
5 |
+
"eval_steps": 10000,
|
6 |
+
"global_step": 170000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 0.0002,
|
14 |
+
"loss": 2.848,
|
15 |
+
"step": 500
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.01,
|
19 |
+
"learning_rate": 0.0002,
|
20 |
+
"loss": 2.7223,
|
21 |
+
"step": 1000
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.01,
|
25 |
+
"learning_rate": 0.0002,
|
26 |
+
"loss": 2.6764,
|
27 |
+
"step": 1500
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.01,
|
31 |
+
"learning_rate": 0.0002,
|
32 |
+
"loss": 2.7175,
|
33 |
+
"step": 2000
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.01,
|
37 |
+
"learning_rate": 0.0002,
|
38 |
+
"loss": 2.7574,
|
39 |
+
"step": 2500
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.02,
|
43 |
+
"learning_rate": 0.0002,
|
44 |
+
"loss": 2.7264,
|
45 |
+
"step": 3000
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.02,
|
49 |
+
"learning_rate": 0.0002,
|
50 |
+
"loss": 2.663,
|
51 |
+
"step": 3500
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.02,
|
55 |
+
"learning_rate": 0.0002,
|
56 |
+
"loss": 2.6491,
|
57 |
+
"step": 4000
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 0.03,
|
61 |
+
"learning_rate": 0.0002,
|
62 |
+
"loss": 2.6539,
|
63 |
+
"step": 4500
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.03,
|
67 |
+
"learning_rate": 0.0002,
|
68 |
+
"loss": 2.6336,
|
69 |
+
"step": 5000
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.03,
|
73 |
+
"learning_rate": 0.0002,
|
74 |
+
"loss": 2.714,
|
75 |
+
"step": 5500
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.04,
|
79 |
+
"learning_rate": 0.0002,
|
80 |
+
"loss": 2.6978,
|
81 |
+
"step": 6000
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.04,
|
85 |
+
"learning_rate": 0.0002,
|
86 |
+
"loss": 2.6446,
|
87 |
+
"step": 6500
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.04,
|
91 |
+
"learning_rate": 0.0002,
|
92 |
+
"loss": 2.6985,
|
93 |
+
"step": 7000
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.04,
|
97 |
+
"learning_rate": 0.0002,
|
98 |
+
"loss": 2.717,
|
99 |
+
"step": 7500
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.05,
|
103 |
+
"learning_rate": 0.0002,
|
104 |
+
"loss": 2.665,
|
105 |
+
"step": 8000
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.05,
|
109 |
+
"learning_rate": 0.0002,
|
110 |
+
"loss": 2.6201,
|
111 |
+
"step": 8500
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.05,
|
115 |
+
"learning_rate": 0.0002,
|
116 |
+
"loss": 2.6889,
|
117 |
+
"step": 9000
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.06,
|
121 |
+
"learning_rate": 0.0002,
|
122 |
+
"loss": 2.6772,
|
123 |
+
"step": 9500
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 0.06,
|
127 |
+
"learning_rate": 0.0002,
|
128 |
+
"loss": 2.677,
|
129 |
+
"step": 10000
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.06,
|
133 |
+
"eval_loss": 1.0160539150238037,
|
134 |
+
"eval_runtime": 10760.1771,
|
135 |
+
"eval_samples_per_second": 1.975,
|
136 |
+
"eval_steps_per_second": 1.975,
|
137 |
+
"step": 10000
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 0.06,
|
141 |
+
"learning_rate": 0.0002,
|
142 |
+
"loss": 2.6959,
|
143 |
+
"step": 10500
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.06,
|
147 |
+
"learning_rate": 0.0002,
|
148 |
+
"loss": 2.6537,
|
149 |
+
"step": 11000
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.07,
|
153 |
+
"learning_rate": 0.0002,
|
154 |
+
"loss": 2.646,
|
155 |
+
"step": 11500
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 0.07,
|
159 |
+
"learning_rate": 0.0002,
|
160 |
+
"loss": 2.6385,
|
161 |
+
"step": 12000
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 0.07,
|
165 |
+
"learning_rate": 0.0002,
|
166 |
+
"loss": 2.7758,
|
167 |
+
"step": 12500
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 0.08,
|
171 |
+
"learning_rate": 0.0002,
|
172 |
+
"loss": 2.6346,
|
173 |
+
"step": 13000
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 0.08,
|
177 |
+
"learning_rate": 0.0002,
|
178 |
+
"loss": 2.6672,
|
179 |
+
"step": 13500
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.08,
|
183 |
+
"learning_rate": 0.0002,
|
184 |
+
"loss": 2.6466,
|
185 |
+
"step": 14000
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.09,
|
189 |
+
"learning_rate": 0.0002,
|
190 |
+
"loss": 2.6491,
|
191 |
+
"step": 14500
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.09,
|
195 |
+
"learning_rate": 0.0002,
|
196 |
+
"loss": 2.6354,
|
197 |
+
"step": 15000
|
198 |
+
},
|
199 |
+
{
|
200 |
+
"epoch": 0.09,
|
201 |
+
"learning_rate": 0.0002,
|
202 |
+
"loss": 2.6093,
|
203 |
+
"step": 15500
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 0.09,
|
207 |
+
"learning_rate": 0.0002,
|
208 |
+
"loss": 2.6614,
|
209 |
+
"step": 16000
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 0.1,
|
213 |
+
"learning_rate": 0.0002,
|
214 |
+
"loss": 2.6479,
|
215 |
+
"step": 16500
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 0.1,
|
219 |
+
"learning_rate": 0.0002,
|
220 |
+
"loss": 2.6402,
|
221 |
+
"step": 17000
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.1,
|
225 |
+
"learning_rate": 0.0002,
|
226 |
+
"loss": 2.6736,
|
227 |
+
"step": 17500
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 0.11,
|
231 |
+
"learning_rate": 0.0002,
|
232 |
+
"loss": 2.7083,
|
233 |
+
"step": 18000
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.11,
|
237 |
+
"learning_rate": 0.0002,
|
238 |
+
"loss": 2.5751,
|
239 |
+
"step": 18500
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.11,
|
243 |
+
"learning_rate": 0.0002,
|
244 |
+
"loss": 2.7049,
|
245 |
+
"step": 19000
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 0.11,
|
249 |
+
"learning_rate": 0.0002,
|
250 |
+
"loss": 2.6079,
|
251 |
+
"step": 19500
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 0.12,
|
255 |
+
"learning_rate": 0.0002,
|
256 |
+
"loss": 2.6031,
|
257 |
+
"step": 20000
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.12,
|
261 |
+
"eval_loss": 0.9962247014045715,
|
262 |
+
"eval_runtime": 10758.8023,
|
263 |
+
"eval_samples_per_second": 1.975,
|
264 |
+
"eval_steps_per_second": 1.975,
|
265 |
+
"step": 20000
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 0.12,
|
269 |
+
"learning_rate": 0.0002,
|
270 |
+
"loss": 2.6583,
|
271 |
+
"step": 20500
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.12,
|
275 |
+
"learning_rate": 0.0002,
|
276 |
+
"loss": 2.6182,
|
277 |
+
"step": 21000
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 0.13,
|
281 |
+
"learning_rate": 0.0002,
|
282 |
+
"loss": 2.6299,
|
283 |
+
"step": 21500
|
284 |
+
},
|
285 |
+
{
|
286 |
+
"epoch": 0.13,
|
287 |
+
"learning_rate": 0.0002,
|
288 |
+
"loss": 2.6448,
|
289 |
+
"step": 22000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.13,
|
293 |
+
"learning_rate": 0.0002,
|
294 |
+
"loss": 2.6013,
|
295 |
+
"step": 22500
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 0.14,
|
299 |
+
"learning_rate": 0.0002,
|
300 |
+
"loss": 2.6863,
|
301 |
+
"step": 23000
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 0.14,
|
305 |
+
"learning_rate": 0.0002,
|
306 |
+
"loss": 2.6656,
|
307 |
+
"step": 23500
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 0.14,
|
311 |
+
"learning_rate": 0.0002,
|
312 |
+
"loss": 2.6429,
|
313 |
+
"step": 24000
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.14,
|
317 |
+
"learning_rate": 0.0002,
|
318 |
+
"loss": 2.6574,
|
319 |
+
"step": 24500
|
320 |
+
},
|
321 |
+
{
|
322 |
+
"epoch": 0.15,
|
323 |
+
"learning_rate": 0.0002,
|
324 |
+
"loss": 2.6068,
|
325 |
+
"step": 25000
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.15,
|
329 |
+
"learning_rate": 0.0002,
|
330 |
+
"loss": 2.608,
|
331 |
+
"step": 25500
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.15,
|
335 |
+
"learning_rate": 0.0002,
|
336 |
+
"loss": 2.5827,
|
337 |
+
"step": 26000
|
338 |
+
},
|
339 |
+
{
|
340 |
+
"epoch": 0.16,
|
341 |
+
"learning_rate": 0.0002,
|
342 |
+
"loss": 2.5467,
|
343 |
+
"step": 26500
|
344 |
+
},
|
345 |
+
{
|
346 |
+
"epoch": 0.16,
|
347 |
+
"learning_rate": 0.0002,
|
348 |
+
"loss": 2.5671,
|
349 |
+
"step": 27000
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 0.16,
|
353 |
+
"learning_rate": 0.0002,
|
354 |
+
"loss": 2.5771,
|
355 |
+
"step": 27500
|
356 |
+
},
|
357 |
+
{
|
358 |
+
"epoch": 0.16,
|
359 |
+
"learning_rate": 0.0002,
|
360 |
+
"loss": 2.5697,
|
361 |
+
"step": 28000
|
362 |
+
},
|
363 |
+
{
|
364 |
+
"epoch": 0.17,
|
365 |
+
"learning_rate": 0.0002,
|
366 |
+
"loss": 2.5959,
|
367 |
+
"step": 28500
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.17,
|
371 |
+
"learning_rate": 0.0002,
|
372 |
+
"loss": 2.6184,
|
373 |
+
"step": 29000
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.17,
|
377 |
+
"learning_rate": 0.0002,
|
378 |
+
"loss": 2.5886,
|
379 |
+
"step": 29500
|
380 |
+
},
|
381 |
+
{
|
382 |
+
"epoch": 0.18,
|
383 |
+
"learning_rate": 0.0002,
|
384 |
+
"loss": 2.6198,
|
385 |
+
"step": 30000
|
386 |
+
},
|
387 |
+
{
|
388 |
+
"epoch": 0.18,
|
389 |
+
"eval_loss": 0.9876086115837097,
|
390 |
+
"eval_runtime": 4361.4057,
|
391 |
+
"eval_samples_per_second": 4.872,
|
392 |
+
"eval_steps_per_second": 4.872,
|
393 |
+
"step": 30000
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 0.18,
|
397 |
+
"learning_rate": 0.0002,
|
398 |
+
"loss": 2.6259,
|
399 |
+
"step": 30500
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.18,
|
403 |
+
"learning_rate": 0.0002,
|
404 |
+
"loss": 2.531,
|
405 |
+
"step": 31000
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.19,
|
409 |
+
"learning_rate": 0.0002,
|
410 |
+
"loss": 2.6404,
|
411 |
+
"step": 31500
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 0.19,
|
415 |
+
"learning_rate": 0.0002,
|
416 |
+
"loss": 2.5938,
|
417 |
+
"step": 32000
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 0.19,
|
421 |
+
"learning_rate": 0.0002,
|
422 |
+
"loss": 2.6468,
|
423 |
+
"step": 32500
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.19,
|
427 |
+
"learning_rate": 0.0002,
|
428 |
+
"loss": 2.5516,
|
429 |
+
"step": 33000
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.2,
|
433 |
+
"learning_rate": 0.0002,
|
434 |
+
"loss": 2.5667,
|
435 |
+
"step": 33500
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 0.2,
|
439 |
+
"learning_rate": 0.0002,
|
440 |
+
"loss": 2.5937,
|
441 |
+
"step": 34000
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.2,
|
445 |
+
"learning_rate": 0.0002,
|
446 |
+
"loss": 2.554,
|
447 |
+
"step": 34500
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 0.21,
|
451 |
+
"learning_rate": 0.0002,
|
452 |
+
"loss": 2.6059,
|
453 |
+
"step": 35000
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 0.21,
|
457 |
+
"learning_rate": 0.0002,
|
458 |
+
"loss": 2.6047,
|
459 |
+
"step": 35500
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.21,
|
463 |
+
"learning_rate": 0.0002,
|
464 |
+
"loss": 2.6003,
|
465 |
+
"step": 36000
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.21,
|
469 |
+
"learning_rate": 0.0002,
|
470 |
+
"loss": 2.5939,
|
471 |
+
"step": 36500
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.22,
|
475 |
+
"learning_rate": 0.0002,
|
476 |
+
"loss": 2.6079,
|
477 |
+
"step": 37000
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.22,
|
481 |
+
"learning_rate": 0.0002,
|
482 |
+
"loss": 2.5879,
|
483 |
+
"step": 37500
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 0.22,
|
487 |
+
"learning_rate": 0.0002,
|
488 |
+
"loss": 2.5627,
|
489 |
+
"step": 38000
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.23,
|
493 |
+
"learning_rate": 0.0002,
|
494 |
+
"loss": 2.5913,
|
495 |
+
"step": 38500
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 0.23,
|
499 |
+
"learning_rate": 0.0002,
|
500 |
+
"loss": 2.5924,
|
501 |
+
"step": 39000
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 0.23,
|
505 |
+
"learning_rate": 0.0002,
|
506 |
+
"loss": 2.541,
|
507 |
+
"step": 39500
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.24,
|
511 |
+
"learning_rate": 0.0002,
|
512 |
+
"loss": 2.5684,
|
513 |
+
"step": 40000
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.24,
|
517 |
+
"eval_loss": 0.9882351160049438,
|
518 |
+
"eval_runtime": 4362.1091,
|
519 |
+
"eval_samples_per_second": 4.871,
|
520 |
+
"eval_steps_per_second": 4.871,
|
521 |
+
"step": 40000
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.24,
|
525 |
+
"learning_rate": 0.0002,
|
526 |
+
"loss": 2.6912,
|
527 |
+
"step": 40500
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.24,
|
531 |
+
"learning_rate": 0.0002,
|
532 |
+
"loss": 2.5589,
|
533 |
+
"step": 41000
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.24,
|
537 |
+
"learning_rate": 0.0002,
|
538 |
+
"loss": 2.5529,
|
539 |
+
"step": 41500
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 0.25,
|
543 |
+
"learning_rate": 0.0002,
|
544 |
+
"loss": 2.6136,
|
545 |
+
"step": 42000
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 0.25,
|
549 |
+
"learning_rate": 0.0002,
|
550 |
+
"loss": 2.5734,
|
551 |
+
"step": 42500
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 0.25,
|
555 |
+
"learning_rate": 0.0002,
|
556 |
+
"loss": 2.5784,
|
557 |
+
"step": 43000
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 0.26,
|
561 |
+
"learning_rate": 0.0002,
|
562 |
+
"loss": 2.571,
|
563 |
+
"step": 43500
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.26,
|
567 |
+
"learning_rate": 0.0002,
|
568 |
+
"loss": 2.5876,
|
569 |
+
"step": 44000
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.26,
|
573 |
+
"learning_rate": 0.0002,
|
574 |
+
"loss": 2.5619,
|
575 |
+
"step": 44500
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 0.26,
|
579 |
+
"learning_rate": 0.0002,
|
580 |
+
"loss": 2.5827,
|
581 |
+
"step": 45000
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 0.27,
|
585 |
+
"learning_rate": 0.0002,
|
586 |
+
"loss": 2.5261,
|
587 |
+
"step": 45500
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.27,
|
591 |
+
"learning_rate": 0.0002,
|
592 |
+
"loss": 2.5892,
|
593 |
+
"step": 46000
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 0.27,
|
597 |
+
"learning_rate": 0.0002,
|
598 |
+
"loss": 2.5985,
|
599 |
+
"step": 46500
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 0.28,
|
603 |
+
"learning_rate": 0.0002,
|
604 |
+
"loss": 2.5743,
|
605 |
+
"step": 47000
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.28,
|
609 |
+
"learning_rate": 0.0002,
|
610 |
+
"loss": 2.5872,
|
611 |
+
"step": 47500
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.28,
|
615 |
+
"learning_rate": 0.0002,
|
616 |
+
"loss": 2.631,
|
617 |
+
"step": 48000
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.29,
|
621 |
+
"learning_rate": 0.0002,
|
622 |
+
"loss": 2.5579,
|
623 |
+
"step": 48500
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 0.29,
|
627 |
+
"learning_rate": 0.0002,
|
628 |
+
"loss": 2.5076,
|
629 |
+
"step": 49000
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 0.29,
|
633 |
+
"learning_rate": 0.0002,
|
634 |
+
"loss": 2.5812,
|
635 |
+
"step": 49500
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 0.29,
|
639 |
+
"learning_rate": 0.0002,
|
640 |
+
"loss": 2.5464,
|
641 |
+
"step": 50000
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 0.29,
|
645 |
+
"eval_loss": 0.9824422597885132,
|
646 |
+
"eval_runtime": 4360.8255,
|
647 |
+
"eval_samples_per_second": 4.873,
|
648 |
+
"eval_steps_per_second": 4.873,
|
649 |
+
"step": 50000
|
650 |
+
},
|
651 |
+
{
|
652 |
+
"epoch": 0.3,
|
653 |
+
"learning_rate": 0.0002,
|
654 |
+
"loss": 2.5652,
|
655 |
+
"step": 50500
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 0.3,
|
659 |
+
"learning_rate": 0.0002,
|
660 |
+
"loss": 2.6049,
|
661 |
+
"step": 51000
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.3,
|
665 |
+
"learning_rate": 0.0002,
|
666 |
+
"loss": 2.5393,
|
667 |
+
"step": 51500
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.31,
|
671 |
+
"learning_rate": 0.0002,
|
672 |
+
"loss": 2.567,
|
673 |
+
"step": 52000
|
674 |
+
},
|
675 |
+
{
|
676 |
+
"epoch": 0.31,
|
677 |
+
"learning_rate": 0.0002,
|
678 |
+
"loss": 2.6241,
|
679 |
+
"step": 52500
|
680 |
+
},
|
681 |
+
{
|
682 |
+
"epoch": 0.31,
|
683 |
+
"learning_rate": 0.0002,
|
684 |
+
"loss": 2.5549,
|
685 |
+
"step": 53000
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 0.31,
|
689 |
+
"learning_rate": 0.0002,
|
690 |
+
"loss": 2.5779,
|
691 |
+
"step": 53500
|
692 |
+
},
|
693 |
+
{
|
694 |
+
"epoch": 0.32,
|
695 |
+
"learning_rate": 0.0002,
|
696 |
+
"loss": 2.5542,
|
697 |
+
"step": 54000
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 0.32,
|
701 |
+
"learning_rate": 0.0002,
|
702 |
+
"loss": 2.5893,
|
703 |
+
"step": 54500
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 0.32,
|
707 |
+
"learning_rate": 0.0002,
|
708 |
+
"loss": 2.5856,
|
709 |
+
"step": 55000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.33,
|
713 |
+
"learning_rate": 0.0002,
|
714 |
+
"loss": 2.6168,
|
715 |
+
"step": 55500
|
716 |
+
},
|
717 |
+
{
|
718 |
+
"epoch": 0.33,
|
719 |
+
"learning_rate": 0.0002,
|
720 |
+
"loss": 2.537,
|
721 |
+
"step": 56000
|
722 |
+
},
|
723 |
+
{
|
724 |
+
"epoch": 0.33,
|
725 |
+
"learning_rate": 0.0002,
|
726 |
+
"loss": 2.4988,
|
727 |
+
"step": 56500
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 0.34,
|
731 |
+
"learning_rate": 0.0002,
|
732 |
+
"loss": 2.5916,
|
733 |
+
"step": 57000
|
734 |
+
},
|
735 |
+
{
|
736 |
+
"epoch": 0.34,
|
737 |
+
"learning_rate": 0.0002,
|
738 |
+
"loss": 2.5199,
|
739 |
+
"step": 57500
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 0.34,
|
743 |
+
"learning_rate": 0.0002,
|
744 |
+
"loss": 2.5634,
|
745 |
+
"step": 58000
|
746 |
+
},
|
747 |
+
{
|
748 |
+
"epoch": 0.34,
|
749 |
+
"learning_rate": 0.0002,
|
750 |
+
"loss": 2.5705,
|
751 |
+
"step": 58500
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.35,
|
755 |
+
"learning_rate": 0.0002,
|
756 |
+
"loss": 2.5698,
|
757 |
+
"step": 59000
|
758 |
+
},
|
759 |
+
{
|
760 |
+
"epoch": 0.35,
|
761 |
+
"learning_rate": 0.0002,
|
762 |
+
"loss": 2.5691,
|
763 |
+
"step": 59500
|
764 |
+
},
|
765 |
+
{
|
766 |
+
"epoch": 0.35,
|
767 |
+
"learning_rate": 0.0002,
|
768 |
+
"loss": 2.5616,
|
769 |
+
"step": 60000
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 0.35,
|
773 |
+
"eval_loss": 0.982897162437439,
|
774 |
+
"eval_runtime": 4362.1163,
|
775 |
+
"eval_samples_per_second": 4.871,
|
776 |
+
"eval_steps_per_second": 4.871,
|
777 |
+
"step": 60000
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 0.36,
|
781 |
+
"learning_rate": 0.0002,
|
782 |
+
"loss": 2.5571,
|
783 |
+
"step": 60500
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 0.36,
|
787 |
+
"learning_rate": 0.0002,
|
788 |
+
"loss": 2.5538,
|
789 |
+
"step": 61000
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 0.36,
|
793 |
+
"learning_rate": 0.0002,
|
794 |
+
"loss": 2.5666,
|
795 |
+
"step": 61500
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.36,
|
799 |
+
"learning_rate": 0.0002,
|
800 |
+
"loss": 2.5532,
|
801 |
+
"step": 62000
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.37,
|
805 |
+
"learning_rate": 0.0002,
|
806 |
+
"loss": 2.5578,
|
807 |
+
"step": 62500
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.37,
|
811 |
+
"learning_rate": 0.0002,
|
812 |
+
"loss": 2.5467,
|
813 |
+
"step": 63000
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 0.37,
|
817 |
+
"learning_rate": 0.0002,
|
818 |
+
"loss": 2.5936,
|
819 |
+
"step": 63500
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 0.38,
|
823 |
+
"learning_rate": 0.0002,
|
824 |
+
"loss": 2.5476,
|
825 |
+
"step": 64000
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 0.38,
|
829 |
+
"learning_rate": 0.0002,
|
830 |
+
"loss": 2.584,
|
831 |
+
"step": 64500
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 0.38,
|
835 |
+
"learning_rate": 0.0002,
|
836 |
+
"loss": 2.4837,
|
837 |
+
"step": 65000
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 0.39,
|
841 |
+
"learning_rate": 0.0002,
|
842 |
+
"loss": 2.5666,
|
843 |
+
"step": 65500
|
844 |
+
},
|
845 |
+
{
|
846 |
+
"epoch": 0.39,
|
847 |
+
"learning_rate": 0.0002,
|
848 |
+
"loss": 2.5333,
|
849 |
+
"step": 66000
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.39,
|
853 |
+
"learning_rate": 0.0002,
|
854 |
+
"loss": 2.4762,
|
855 |
+
"step": 66500
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 0.39,
|
859 |
+
"learning_rate": 0.0002,
|
860 |
+
"loss": 2.5221,
|
861 |
+
"step": 67000
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 0.4,
|
865 |
+
"learning_rate": 0.0002,
|
866 |
+
"loss": 2.5362,
|
867 |
+
"step": 67500
|
868 |
+
},
|
869 |
+
{
|
870 |
+
"epoch": 0.4,
|
871 |
+
"learning_rate": 0.0002,
|
872 |
+
"loss": 2.5554,
|
873 |
+
"step": 68000
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.4,
|
877 |
+
"learning_rate": 0.0002,
|
878 |
+
"loss": 2.5525,
|
879 |
+
"step": 68500
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.41,
|
883 |
+
"learning_rate": 0.0002,
|
884 |
+
"loss": 2.6418,
|
885 |
+
"step": 69000
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 0.41,
|
889 |
+
"learning_rate": 0.0002,
|
890 |
+
"loss": 2.5773,
|
891 |
+
"step": 69500
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.41,
|
895 |
+
"learning_rate": 0.0002,
|
896 |
+
"loss": 2.4553,
|
897 |
+
"step": 70000
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 0.41,
|
901 |
+
"eval_loss": 0.9774429202079773,
|
902 |
+
"eval_runtime": 4360.3352,
|
903 |
+
"eval_samples_per_second": 4.873,
|
904 |
+
"eval_steps_per_second": 4.873,
|
905 |
+
"step": 70000
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.41,
|
909 |
+
"learning_rate": 0.0002,
|
910 |
+
"loss": 2.5563,
|
911 |
+
"step": 70500
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 0.42,
|
915 |
+
"learning_rate": 0.0002,
|
916 |
+
"loss": 2.5383,
|
917 |
+
"step": 71000
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 0.42,
|
921 |
+
"learning_rate": 0.0002,
|
922 |
+
"loss": 2.569,
|
923 |
+
"step": 71500
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 0.42,
|
927 |
+
"learning_rate": 0.0002,
|
928 |
+
"loss": 2.5254,
|
929 |
+
"step": 72000
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 0.43,
|
933 |
+
"learning_rate": 0.0002,
|
934 |
+
"loss": 2.5403,
|
935 |
+
"step": 72500
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 0.43,
|
939 |
+
"learning_rate": 0.0002,
|
940 |
+
"loss": 2.5346,
|
941 |
+
"step": 73000
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 0.43,
|
945 |
+
"learning_rate": 0.0002,
|
946 |
+
"loss": 2.5149,
|
947 |
+
"step": 73500
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.44,
|
951 |
+
"learning_rate": 0.0002,
|
952 |
+
"loss": 2.5542,
|
953 |
+
"step": 74000
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 0.44,
|
957 |
+
"learning_rate": 0.0002,
|
958 |
+
"loss": 2.4683,
|
959 |
+
"step": 74500
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 0.44,
|
963 |
+
"learning_rate": 0.0002,
|
964 |
+
"loss": 2.5426,
|
965 |
+
"step": 75000
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 0.44,
|
969 |
+
"learning_rate": 0.0002,
|
970 |
+
"loss": 2.5678,
|
971 |
+
"step": 75500
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 0.45,
|
975 |
+
"learning_rate": 0.0002,
|
976 |
+
"loss": 2.5233,
|
977 |
+
"step": 76000
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 0.45,
|
981 |
+
"learning_rate": 0.0002,
|
982 |
+
"loss": 2.5101,
|
983 |
+
"step": 76500
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 0.45,
|
987 |
+
"learning_rate": 0.0002,
|
988 |
+
"loss": 2.5563,
|
989 |
+
"step": 77000
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.46,
|
993 |
+
"learning_rate": 0.0002,
|
994 |
+
"loss": 2.4892,
|
995 |
+
"step": 77500
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 0.46,
|
999 |
+
"learning_rate": 0.0002,
|
1000 |
+
"loss": 2.5376,
|
1001 |
+
"step": 78000
|
1002 |
+
},
|
1003 |
+
{
|
1004 |
+
"epoch": 0.46,
|
1005 |
+
"learning_rate": 0.0002,
|
1006 |
+
"loss": 2.5388,
|
1007 |
+
"step": 78500
|
1008 |
+
},
|
1009 |
+
{
|
1010 |
+
"epoch": 0.46,
|
1011 |
+
"learning_rate": 0.0002,
|
1012 |
+
"loss": 2.6034,
|
1013 |
+
"step": 79000
|
1014 |
+
},
|
1015 |
+
{
|
1016 |
+
"epoch": 0.47,
|
1017 |
+
"learning_rate": 0.0002,
|
1018 |
+
"loss": 2.5005,
|
1019 |
+
"step": 79500
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 0.47,
|
1023 |
+
"learning_rate": 0.0002,
|
1024 |
+
"loss": 2.5341,
|
1025 |
+
"step": 80000
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 0.47,
|
1029 |
+
"eval_loss": 0.9903130531311035,
|
1030 |
+
"eval_runtime": 4360.6192,
|
1031 |
+
"eval_samples_per_second": 4.873,
|
1032 |
+
"eval_steps_per_second": 4.873,
|
1033 |
+
"step": 80000
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 0.47,
|
1037 |
+
"learning_rate": 0.0002,
|
1038 |
+
"loss": 2.524,
|
1039 |
+
"step": 80500
|
1040 |
+
},
|
1041 |
+
{
|
1042 |
+
"epoch": 0.48,
|
1043 |
+
"learning_rate": 0.0002,
|
1044 |
+
"loss": 2.5629,
|
1045 |
+
"step": 81000
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.48,
|
1049 |
+
"learning_rate": 0.0002,
|
1050 |
+
"loss": 2.5062,
|
1051 |
+
"step": 81500
|
1052 |
+
},
|
1053 |
+
{
|
1054 |
+
"epoch": 0.48,
|
1055 |
+
"learning_rate": 0.0002,
|
1056 |
+
"loss": 2.5454,
|
1057 |
+
"step": 82000
|
1058 |
+
},
|
1059 |
+
{
|
1060 |
+
"epoch": 0.49,
|
1061 |
+
"learning_rate": 0.0002,
|
1062 |
+
"loss": 2.5476,
|
1063 |
+
"step": 82500
|
1064 |
+
},
|
1065 |
+
{
|
1066 |
+
"epoch": 0.49,
|
1067 |
+
"learning_rate": 0.0002,
|
1068 |
+
"loss": 2.5474,
|
1069 |
+
"step": 83000
|
1070 |
+
},
|
1071 |
+
{
|
1072 |
+
"epoch": 0.49,
|
1073 |
+
"learning_rate": 0.0002,
|
1074 |
+
"loss": 2.5022,
|
1075 |
+
"step": 83500
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"epoch": 0.49,
|
1079 |
+
"learning_rate": 0.0002,
|
1080 |
+
"loss": 2.5171,
|
1081 |
+
"step": 84000
|
1082 |
+
},
|
1083 |
+
{
|
1084 |
+
"epoch": 0.5,
|
1085 |
+
"learning_rate": 0.0002,
|
1086 |
+
"loss": 2.5552,
|
1087 |
+
"step": 84500
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.5,
|
1091 |
+
"learning_rate": 0.0002,
|
1092 |
+
"loss": 2.5438,
|
1093 |
+
"step": 85000
|
1094 |
+
},
|
1095 |
+
{
|
1096 |
+
"epoch": 0.5,
|
1097 |
+
"learning_rate": 0.0002,
|
1098 |
+
"loss": 2.5372,
|
1099 |
+
"step": 85500
|
1100 |
+
},
|
1101 |
+
{
|
1102 |
+
"epoch": 0.51,
|
1103 |
+
"learning_rate": 0.0002,
|
1104 |
+
"loss": 2.5573,
|
1105 |
+
"step": 86000
|
1106 |
+
},
|
1107 |
+
{
|
1108 |
+
"epoch": 0.51,
|
1109 |
+
"learning_rate": 0.0002,
|
1110 |
+
"loss": 2.529,
|
1111 |
+
"step": 86500
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 0.51,
|
1115 |
+
"learning_rate": 0.0002,
|
1116 |
+
"loss": 2.5663,
|
1117 |
+
"step": 87000
|
1118 |
+
},
|
1119 |
+
{
|
1120 |
+
"epoch": 0.51,
|
1121 |
+
"learning_rate": 0.0002,
|
1122 |
+
"loss": 2.6346,
|
1123 |
+
"step": 87500
|
1124 |
+
},
|
1125 |
+
{
|
1126 |
+
"epoch": 0.52,
|
1127 |
+
"learning_rate": 0.0002,
|
1128 |
+
"loss": 2.5278,
|
1129 |
+
"step": 88000
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.52,
|
1133 |
+
"learning_rate": 0.0002,
|
1134 |
+
"loss": 2.3625,
|
1135 |
+
"step": 88500
|
1136 |
+
},
|
1137 |
+
{
|
1138 |
+
"epoch": 0.52,
|
1139 |
+
"learning_rate": 0.0002,
|
1140 |
+
"loss": 2.3439,
|
1141 |
+
"step": 89000
|
1142 |
+
},
|
1143 |
+
{
|
1144 |
+
"epoch": 0.53,
|
1145 |
+
"learning_rate": 0.0002,
|
1146 |
+
"loss": 2.3465,
|
1147 |
+
"step": 89500
|
1148 |
+
},
|
1149 |
+
{
|
1150 |
+
"epoch": 0.53,
|
1151 |
+
"learning_rate": 0.0002,
|
1152 |
+
"loss": 2.3382,
|
1153 |
+
"step": 90000
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 0.53,
|
1157 |
+
"eval_loss": 2.6655304431915283,
|
1158 |
+
"eval_runtime": 4818.1263,
|
1159 |
+
"eval_samples_per_second": 4.41,
|
1160 |
+
"eval_steps_per_second": 4.41,
|
1161 |
+
"step": 90000
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 0.53,
|
1165 |
+
"learning_rate": 0.0002,
|
1166 |
+
"loss": 2.3589,
|
1167 |
+
"step": 90500
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 0.54,
|
1171 |
+
"learning_rate": 0.0002,
|
1172 |
+
"loss": 2.3548,
|
1173 |
+
"step": 91000
|
1174 |
+
},
|
1175 |
+
{
|
1176 |
+
"epoch": 0.54,
|
1177 |
+
"learning_rate": 0.0002,
|
1178 |
+
"loss": 2.3523,
|
1179 |
+
"step": 91500
|
1180 |
+
},
|
1181 |
+
{
|
1182 |
+
"epoch": 0.54,
|
1183 |
+
"learning_rate": 0.0002,
|
1184 |
+
"loss": 2.3466,
|
1185 |
+
"step": 92000
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.54,
|
1189 |
+
"learning_rate": 0.0002,
|
1190 |
+
"loss": 2.3472,
|
1191 |
+
"step": 92500
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 0.55,
|
1195 |
+
"learning_rate": 0.0002,
|
1196 |
+
"loss": 2.3599,
|
1197 |
+
"step": 93000
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 0.55,
|
1201 |
+
"learning_rate": 0.0002,
|
1202 |
+
"loss": 2.3891,
|
1203 |
+
"step": 93500
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 0.55,
|
1207 |
+
"learning_rate": 0.0002,
|
1208 |
+
"loss": 2.3451,
|
1209 |
+
"step": 94000
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.56,
|
1213 |
+
"learning_rate": 0.0002,
|
1214 |
+
"loss": 2.3753,
|
1215 |
+
"step": 94500
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 0.56,
|
1219 |
+
"learning_rate": 0.0002,
|
1220 |
+
"loss": 2.3492,
|
1221 |
+
"step": 95000
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 0.56,
|
1225 |
+
"learning_rate": 0.0002,
|
1226 |
+
"loss": 2.315,
|
1227 |
+
"step": 95500
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.56,
|
1231 |
+
"learning_rate": 0.0002,
|
1232 |
+
"loss": 2.361,
|
1233 |
+
"step": 96000
|
1234 |
+
},
|
1235 |
+
{
|
1236 |
+
"epoch": 0.57,
|
1237 |
+
"learning_rate": 0.0002,
|
1238 |
+
"loss": 2.3837,
|
1239 |
+
"step": 96500
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 0.57,
|
1243 |
+
"learning_rate": 0.0002,
|
1244 |
+
"loss": 2.3445,
|
1245 |
+
"step": 97000
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 0.57,
|
1249 |
+
"learning_rate": 0.0002,
|
1250 |
+
"loss": 2.349,
|
1251 |
+
"step": 97500
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 0.58,
|
1255 |
+
"learning_rate": 0.0002,
|
1256 |
+
"loss": 2.3372,
|
1257 |
+
"step": 98000
|
1258 |
+
},
|
1259 |
+
{
|
1260 |
+
"epoch": 0.58,
|
1261 |
+
"learning_rate": 0.0002,
|
1262 |
+
"loss": 2.3443,
|
1263 |
+
"step": 98500
|
1264 |
+
},
|
1265 |
+
{
|
1266 |
+
"epoch": 0.58,
|
1267 |
+
"learning_rate": 0.0002,
|
1268 |
+
"loss": 2.3264,
|
1269 |
+
"step": 99000
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.59,
|
1273 |
+
"learning_rate": 0.0002,
|
1274 |
+
"loss": 2.3284,
|
1275 |
+
"step": 99500
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 0.59,
|
1279 |
+
"learning_rate": 0.0002,
|
1280 |
+
"loss": 2.364,
|
1281 |
+
"step": 100000
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 0.59,
|
1285 |
+
"eval_loss": 2.6744492053985596,
|
1286 |
+
"eval_runtime": 4817.3407,
|
1287 |
+
"eval_samples_per_second": 4.411,
|
1288 |
+
"eval_steps_per_second": 4.411,
|
1289 |
+
"step": 100000
|
1290 |
+
},
|
1291 |
+
{
|
1292 |
+
"epoch": 0.59,
|
1293 |
+
"learning_rate": 0.0002,
|
1294 |
+
"loss": 2.3644,
|
1295 |
+
"step": 100500
|
1296 |
+
},
|
1297 |
+
{
|
1298 |
+
"epoch": 0.59,
|
1299 |
+
"learning_rate": 0.0002,
|
1300 |
+
"loss": 2.3559,
|
1301 |
+
"step": 101000
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 0.6,
|
1305 |
+
"learning_rate": 0.0002,
|
1306 |
+
"loss": 2.3435,
|
1307 |
+
"step": 101500
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 0.6,
|
1311 |
+
"learning_rate": 0.0002,
|
1312 |
+
"loss": 2.3936,
|
1313 |
+
"step": 102000
|
1314 |
+
},
|
1315 |
+
{
|
1316 |
+
"epoch": 0.6,
|
1317 |
+
"learning_rate": 0.0002,
|
1318 |
+
"loss": 2.3371,
|
1319 |
+
"step": 102500
|
1320 |
+
},
|
1321 |
+
{
|
1322 |
+
"epoch": 0.61,
|
1323 |
+
"learning_rate": 0.0002,
|
1324 |
+
"loss": 2.3501,
|
1325 |
+
"step": 103000
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.61,
|
1329 |
+
"learning_rate": 0.0002,
|
1330 |
+
"loss": 2.3649,
|
1331 |
+
"step": 103500
|
1332 |
+
},
|
1333 |
+
{
|
1334 |
+
"epoch": 0.61,
|
1335 |
+
"learning_rate": 0.0002,
|
1336 |
+
"loss": 2.3642,
|
1337 |
+
"step": 104000
|
1338 |
+
},
|
1339 |
+
{
|
1340 |
+
"epoch": 0.61,
|
1341 |
+
"learning_rate": 0.0002,
|
1342 |
+
"loss": 2.3534,
|
1343 |
+
"step": 104500
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 0.62,
|
1347 |
+
"learning_rate": 0.0002,
|
1348 |
+
"loss": 2.3466,
|
1349 |
+
"step": 105000
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 0.62,
|
1353 |
+
"learning_rate": 0.0002,
|
1354 |
+
"loss": 2.2974,
|
1355 |
+
"step": 105500
|
1356 |
+
},
|
1357 |
+
{
|
1358 |
+
"epoch": 0.62,
|
1359 |
+
"learning_rate": 0.0002,
|
1360 |
+
"loss": 2.3481,
|
1361 |
+
"step": 106000
|
1362 |
+
},
|
1363 |
+
{
|
1364 |
+
"epoch": 0.63,
|
1365 |
+
"learning_rate": 0.0002,
|
1366 |
+
"loss": 2.3419,
|
1367 |
+
"step": 106500
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.63,
|
1371 |
+
"learning_rate": 0.0002,
|
1372 |
+
"loss": 2.3576,
|
1373 |
+
"step": 107000
|
1374 |
+
},
|
1375 |
+
{
|
1376 |
+
"epoch": 0.63,
|
1377 |
+
"learning_rate": 0.0002,
|
1378 |
+
"loss": 2.3623,
|
1379 |
+
"step": 107500
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 0.64,
|
1383 |
+
"learning_rate": 0.0002,
|
1384 |
+
"loss": 2.3495,
|
1385 |
+
"step": 108000
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 0.64,
|
1389 |
+
"learning_rate": 0.0002,
|
1390 |
+
"loss": 2.3712,
|
1391 |
+
"step": 108500
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 0.64,
|
1395 |
+
"learning_rate": 0.0002,
|
1396 |
+
"loss": 2.3906,
|
1397 |
+
"step": 109000
|
1398 |
+
},
|
1399 |
+
{
|
1400 |
+
"epoch": 0.64,
|
1401 |
+
"learning_rate": 0.0002,
|
1402 |
+
"loss": 2.4141,
|
1403 |
+
"step": 109500
|
1404 |
+
},
|
1405 |
+
{
|
1406 |
+
"epoch": 0.65,
|
1407 |
+
"learning_rate": 0.0002,
|
1408 |
+
"loss": 2.3699,
|
1409 |
+
"step": 110000
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.65,
|
1413 |
+
"eval_loss": 2.673431634902954,
|
1414 |
+
"eval_runtime": 4815.7605,
|
1415 |
+
"eval_samples_per_second": 4.413,
|
1416 |
+
"eval_steps_per_second": 4.413,
|
1417 |
+
"step": 110000
|
1418 |
+
},
|
1419 |
+
{
|
1420 |
+
"epoch": 0.65,
|
1421 |
+
"learning_rate": 0.0002,
|
1422 |
+
"loss": 2.3651,
|
1423 |
+
"step": 110500
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.65,
|
1427 |
+
"learning_rate": 0.0002,
|
1428 |
+
"loss": 2.3447,
|
1429 |
+
"step": 111000
|
1430 |
+
},
|
1431 |
+
{
|
1432 |
+
"epoch": 0.66,
|
1433 |
+
"learning_rate": 0.0002,
|
1434 |
+
"loss": 2.3671,
|
1435 |
+
"step": 111500
|
1436 |
+
},
|
1437 |
+
{
|
1438 |
+
"epoch": 0.66,
|
1439 |
+
"learning_rate": 0.0002,
|
1440 |
+
"loss": 2.356,
|
1441 |
+
"step": 112000
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 0.66,
|
1445 |
+
"learning_rate": 0.0002,
|
1446 |
+
"loss": 2.3909,
|
1447 |
+
"step": 112500
|
1448 |
+
},
|
1449 |
+
{
|
1450 |
+
"epoch": 0.66,
|
1451 |
+
"learning_rate": 0.0002,
|
1452 |
+
"loss": 2.3871,
|
1453 |
+
"step": 113000
|
1454 |
+
},
|
1455 |
+
{
|
1456 |
+
"epoch": 0.67,
|
1457 |
+
"learning_rate": 0.0002,
|
1458 |
+
"loss": 2.3786,
|
1459 |
+
"step": 113500
|
1460 |
+
},
|
1461 |
+
{
|
1462 |
+
"epoch": 0.67,
|
1463 |
+
"learning_rate": 0.0002,
|
1464 |
+
"loss": 2.3473,
|
1465 |
+
"step": 114000
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.67,
|
1469 |
+
"learning_rate": 0.0002,
|
1470 |
+
"loss": 2.3424,
|
1471 |
+
"step": 114500
|
1472 |
+
},
|
1473 |
+
{
|
1474 |
+
"epoch": 0.68,
|
1475 |
+
"learning_rate": 0.0002,
|
1476 |
+
"loss": 2.3396,
|
1477 |
+
"step": 115000
|
1478 |
+
},
|
1479 |
+
{
|
1480 |
+
"epoch": 0.68,
|
1481 |
+
"learning_rate": 0.0002,
|
1482 |
+
"loss": 2.3395,
|
1483 |
+
"step": 115500
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 0.68,
|
1487 |
+
"learning_rate": 0.0002,
|
1488 |
+
"loss": 2.3115,
|
1489 |
+
"step": 116000
|
1490 |
+
},
|
1491 |
+
{
|
1492 |
+
"epoch": 0.69,
|
1493 |
+
"learning_rate": 0.0002,
|
1494 |
+
"loss": 2.3832,
|
1495 |
+
"step": 116500
|
1496 |
+
},
|
1497 |
+
{
|
1498 |
+
"epoch": 0.69,
|
1499 |
+
"learning_rate": 0.0002,
|
1500 |
+
"loss": 2.3606,
|
1501 |
+
"step": 117000
|
1502 |
+
},
|
1503 |
+
{
|
1504 |
+
"epoch": 0.69,
|
1505 |
+
"learning_rate": 0.0002,
|
1506 |
+
"loss": 2.3634,
|
1507 |
+
"step": 117500
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.69,
|
1511 |
+
"learning_rate": 0.0002,
|
1512 |
+
"loss": 2.365,
|
1513 |
+
"step": 118000
|
1514 |
+
},
|
1515 |
+
{
|
1516 |
+
"epoch": 0.7,
|
1517 |
+
"learning_rate": 0.0002,
|
1518 |
+
"loss": 2.3456,
|
1519 |
+
"step": 118500
|
1520 |
+
},
|
1521 |
+
{
|
1522 |
+
"epoch": 0.7,
|
1523 |
+
"learning_rate": 0.0002,
|
1524 |
+
"loss": 2.3678,
|
1525 |
+
"step": 119000
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 0.7,
|
1529 |
+
"learning_rate": 0.0002,
|
1530 |
+
"loss": 2.3941,
|
1531 |
+
"step": 119500
|
1532 |
+
},
|
1533 |
+
{
|
1534 |
+
"epoch": 0.71,
|
1535 |
+
"learning_rate": 0.0002,
|
1536 |
+
"loss": 2.3415,
|
1537 |
+
"step": 120000
|
1538 |
+
},
|
1539 |
+
{
|
1540 |
+
"epoch": 0.71,
|
1541 |
+
"eval_loss": 2.6743311882019043,
|
1542 |
+
"eval_runtime": 4816.0272,
|
1543 |
+
"eval_samples_per_second": 4.412,
|
1544 |
+
"eval_steps_per_second": 4.412,
|
1545 |
+
"step": 120000
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 0.71,
|
1549 |
+
"learning_rate": 0.0002,
|
1550 |
+
"loss": 2.3634,
|
1551 |
+
"step": 120500
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 0.71,
|
1555 |
+
"learning_rate": 0.0002,
|
1556 |
+
"loss": 2.3707,
|
1557 |
+
"step": 121000
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 0.71,
|
1561 |
+
"learning_rate": 0.0002,
|
1562 |
+
"loss": 2.3635,
|
1563 |
+
"step": 121500
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.72,
|
1567 |
+
"learning_rate": 0.0002,
|
1568 |
+
"loss": 2.351,
|
1569 |
+
"step": 122000
|
1570 |
+
},
|
1571 |
+
{
|
1572 |
+
"epoch": 0.72,
|
1573 |
+
"learning_rate": 0.0002,
|
1574 |
+
"loss": 2.3491,
|
1575 |
+
"step": 122500
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 0.72,
|
1579 |
+
"learning_rate": 0.0002,
|
1580 |
+
"loss": 2.3578,
|
1581 |
+
"step": 123000
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 0.73,
|
1585 |
+
"learning_rate": 0.0002,
|
1586 |
+
"loss": 2.3551,
|
1587 |
+
"step": 123500
|
1588 |
+
},
|
1589 |
+
{
|
1590 |
+
"epoch": 0.73,
|
1591 |
+
"learning_rate": 0.0002,
|
1592 |
+
"loss": 2.3329,
|
1593 |
+
"step": 124000
|
1594 |
+
},
|
1595 |
+
{
|
1596 |
+
"epoch": 0.73,
|
1597 |
+
"learning_rate": 0.0002,
|
1598 |
+
"loss": 2.3587,
|
1599 |
+
"step": 124500
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 0.74,
|
1603 |
+
"learning_rate": 0.0002,
|
1604 |
+
"loss": 2.3825,
|
1605 |
+
"step": 125000
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.74,
|
1609 |
+
"learning_rate": 0.0002,
|
1610 |
+
"loss": 2.3499,
|
1611 |
+
"step": 125500
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 0.74,
|
1615 |
+
"learning_rate": 0.0002,
|
1616 |
+
"loss": 2.3618,
|
1617 |
+
"step": 126000
|
1618 |
+
},
|
1619 |
+
{
|
1620 |
+
"epoch": 0.74,
|
1621 |
+
"learning_rate": 0.0002,
|
1622 |
+
"loss": 2.3611,
|
1623 |
+
"step": 126500
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 0.75,
|
1627 |
+
"learning_rate": 0.0002,
|
1628 |
+
"loss": 2.3519,
|
1629 |
+
"step": 127000
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 0.75,
|
1633 |
+
"learning_rate": 0.0002,
|
1634 |
+
"loss": 2.3942,
|
1635 |
+
"step": 127500
|
1636 |
+
},
|
1637 |
+
{
|
1638 |
+
"epoch": 0.75,
|
1639 |
+
"learning_rate": 0.0002,
|
1640 |
+
"loss": 2.3654,
|
1641 |
+
"step": 128000
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 0.76,
|
1645 |
+
"learning_rate": 0.0002,
|
1646 |
+
"loss": 2.34,
|
1647 |
+
"step": 128500
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.76,
|
1651 |
+
"learning_rate": 0.0002,
|
1652 |
+
"loss": 2.3108,
|
1653 |
+
"step": 129000
|
1654 |
+
},
|
1655 |
+
{
|
1656 |
+
"epoch": 0.76,
|
1657 |
+
"learning_rate": 0.0002,
|
1658 |
+
"loss": 2.378,
|
1659 |
+
"step": 129500
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 0.76,
|
1663 |
+
"learning_rate": 0.0002,
|
1664 |
+
"loss": 2.356,
|
1665 |
+
"step": 130000
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 0.76,
|
1669 |
+
"eval_loss": 2.6768763065338135,
|
1670 |
+
"eval_runtime": 4816.6925,
|
1671 |
+
"eval_samples_per_second": 4.412,
|
1672 |
+
"eval_steps_per_second": 4.412,
|
1673 |
+
"step": 130000
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"epoch": 0.77,
|
1677 |
+
"learning_rate": 0.0002,
|
1678 |
+
"loss": 2.3822,
|
1679 |
+
"step": 130500
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 0.77,
|
1683 |
+
"learning_rate": 0.0002,
|
1684 |
+
"loss": 2.3459,
|
1685 |
+
"step": 131000
|
1686 |
+
},
|
1687 |
+
{
|
1688 |
+
"epoch": 0.77,
|
1689 |
+
"learning_rate": 0.0002,
|
1690 |
+
"loss": 2.3586,
|
1691 |
+
"step": 131500
|
1692 |
+
},
|
1693 |
+
{
|
1694 |
+
"epoch": 0.78,
|
1695 |
+
"learning_rate": 0.0002,
|
1696 |
+
"loss": 2.3454,
|
1697 |
+
"step": 132000
|
1698 |
+
},
|
1699 |
+
{
|
1700 |
+
"epoch": 0.78,
|
1701 |
+
"learning_rate": 0.0002,
|
1702 |
+
"loss": 2.3247,
|
1703 |
+
"step": 132500
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.78,
|
1707 |
+
"learning_rate": 0.0002,
|
1708 |
+
"loss": 2.4073,
|
1709 |
+
"step": 133000
|
1710 |
+
},
|
1711 |
+
{
|
1712 |
+
"epoch": 0.79,
|
1713 |
+
"learning_rate": 0.0002,
|
1714 |
+
"loss": 2.3414,
|
1715 |
+
"step": 133500
|
1716 |
+
},
|
1717 |
+
{
|
1718 |
+
"epoch": 0.79,
|
1719 |
+
"learning_rate": 0.0002,
|
1720 |
+
"loss": 2.3574,
|
1721 |
+
"step": 134000
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 0.79,
|
1725 |
+
"learning_rate": 0.0002,
|
1726 |
+
"loss": 2.3388,
|
1727 |
+
"step": 134500
|
1728 |
+
},
|
1729 |
+
{
|
1730 |
+
"epoch": 0.79,
|
1731 |
+
"learning_rate": 0.0002,
|
1732 |
+
"loss": 2.3689,
|
1733 |
+
"step": 135000
|
1734 |
+
},
|
1735 |
+
{
|
1736 |
+
"epoch": 0.8,
|
1737 |
+
"learning_rate": 0.0002,
|
1738 |
+
"loss": 2.3185,
|
1739 |
+
"step": 135500
|
1740 |
+
},
|
1741 |
+
{
|
1742 |
+
"epoch": 0.8,
|
1743 |
+
"learning_rate": 0.0002,
|
1744 |
+
"loss": 2.337,
|
1745 |
+
"step": 136000
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.8,
|
1749 |
+
"learning_rate": 0.0002,
|
1750 |
+
"loss": 2.3462,
|
1751 |
+
"step": 136500
|
1752 |
+
},
|
1753 |
+
{
|
1754 |
+
"epoch": 0.81,
|
1755 |
+
"learning_rate": 0.0002,
|
1756 |
+
"loss": 2.3661,
|
1757 |
+
"step": 137000
|
1758 |
+
},
|
1759 |
+
{
|
1760 |
+
"epoch": 0.81,
|
1761 |
+
"learning_rate": 0.0002,
|
1762 |
+
"loss": 2.3596,
|
1763 |
+
"step": 137500
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 0.81,
|
1767 |
+
"learning_rate": 0.0002,
|
1768 |
+
"loss": 2.3333,
|
1769 |
+
"step": 138000
|
1770 |
+
},
|
1771 |
+
{
|
1772 |
+
"epoch": 0.81,
|
1773 |
+
"learning_rate": 0.0002,
|
1774 |
+
"loss": 2.3709,
|
1775 |
+
"step": 138500
|
1776 |
+
},
|
1777 |
+
{
|
1778 |
+
"epoch": 0.82,
|
1779 |
+
"learning_rate": 0.0002,
|
1780 |
+
"loss": 2.3717,
|
1781 |
+
"step": 139000
|
1782 |
+
},
|
1783 |
+
{
|
1784 |
+
"epoch": 0.82,
|
1785 |
+
"learning_rate": 0.0002,
|
1786 |
+
"loss": 2.3709,
|
1787 |
+
"step": 139500
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.82,
|
1791 |
+
"learning_rate": 0.0002,
|
1792 |
+
"loss": 2.3056,
|
1793 |
+
"step": 140000
|
1794 |
+
},
|
1795 |
+
{
|
1796 |
+
"epoch": 0.82,
|
1797 |
+
"eval_loss": 2.681723117828369,
|
1798 |
+
"eval_runtime": 4815.0048,
|
1799 |
+
"eval_samples_per_second": 4.413,
|
1800 |
+
"eval_steps_per_second": 4.413,
|
1801 |
+
"step": 140000
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.83,
|
1805 |
+
"learning_rate": 0.0002,
|
1806 |
+
"loss": 2.3498,
|
1807 |
+
"step": 140500
|
1808 |
+
},
|
1809 |
+
{
|
1810 |
+
"epoch": 0.83,
|
1811 |
+
"learning_rate": 0.0002,
|
1812 |
+
"loss": 2.372,
|
1813 |
+
"step": 141000
|
1814 |
+
},
|
1815 |
+
{
|
1816 |
+
"epoch": 0.83,
|
1817 |
+
"learning_rate": 0.0002,
|
1818 |
+
"loss": 2.3824,
|
1819 |
+
"step": 141500
|
1820 |
+
},
|
1821 |
+
{
|
1822 |
+
"epoch": 0.84,
|
1823 |
+
"learning_rate": 0.0002,
|
1824 |
+
"loss": 2.3486,
|
1825 |
+
"step": 142000
|
1826 |
+
},
|
1827 |
+
{
|
1828 |
+
"epoch": 0.84,
|
1829 |
+
"learning_rate": 0.0002,
|
1830 |
+
"loss": 2.3141,
|
1831 |
+
"step": 142500
|
1832 |
+
},
|
1833 |
+
{
|
1834 |
+
"epoch": 0.84,
|
1835 |
+
"learning_rate": 0.0002,
|
1836 |
+
"loss": 2.3696,
|
1837 |
+
"step": 143000
|
1838 |
+
},
|
1839 |
+
{
|
1840 |
+
"epoch": 0.84,
|
1841 |
+
"learning_rate": 0.0002,
|
1842 |
+
"loss": 2.3762,
|
1843 |
+
"step": 143500
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.85,
|
1847 |
+
"learning_rate": 0.0002,
|
1848 |
+
"loss": 2.3766,
|
1849 |
+
"step": 144000
|
1850 |
+
},
|
1851 |
+
{
|
1852 |
+
"epoch": 0.85,
|
1853 |
+
"learning_rate": 0.0002,
|
1854 |
+
"loss": 2.3511,
|
1855 |
+
"step": 144500
|
1856 |
+
},
|
1857 |
+
{
|
1858 |
+
"epoch": 0.85,
|
1859 |
+
"learning_rate": 0.0002,
|
1860 |
+
"loss": 2.3493,
|
1861 |
+
"step": 145000
|
1862 |
+
},
|
1863 |
+
{
|
1864 |
+
"epoch": 0.86,
|
1865 |
+
"learning_rate": 0.0002,
|
1866 |
+
"loss": 2.3244,
|
1867 |
+
"step": 145500
|
1868 |
+
},
|
1869 |
+
{
|
1870 |
+
"epoch": 0.86,
|
1871 |
+
"learning_rate": 0.0002,
|
1872 |
+
"loss": 2.3146,
|
1873 |
+
"step": 146000
|
1874 |
+
},
|
1875 |
+
{
|
1876 |
+
"epoch": 0.86,
|
1877 |
+
"learning_rate": 0.0002,
|
1878 |
+
"loss": 2.3676,
|
1879 |
+
"step": 146500
|
1880 |
+
},
|
1881 |
+
{
|
1882 |
+
"epoch": 0.86,
|
1883 |
+
"learning_rate": 0.0002,
|
1884 |
+
"loss": 2.3497,
|
1885 |
+
"step": 147000
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.87,
|
1889 |
+
"learning_rate": 0.0002,
|
1890 |
+
"loss": 2.375,
|
1891 |
+
"step": 147500
|
1892 |
+
},
|
1893 |
+
{
|
1894 |
+
"epoch": 0.87,
|
1895 |
+
"learning_rate": 0.0002,
|
1896 |
+
"loss": 2.2942,
|
1897 |
+
"step": 148000
|
1898 |
+
},
|
1899 |
+
{
|
1900 |
+
"epoch": 0.87,
|
1901 |
+
"learning_rate": 0.0002,
|
1902 |
+
"loss": 2.384,
|
1903 |
+
"step": 148500
|
1904 |
+
},
|
1905 |
+
{
|
1906 |
+
"epoch": 0.88,
|
1907 |
+
"learning_rate": 0.0002,
|
1908 |
+
"loss": 2.3533,
|
1909 |
+
"step": 149000
|
1910 |
+
},
|
1911 |
+
{
|
1912 |
+
"epoch": 0.88,
|
1913 |
+
"learning_rate": 0.0002,
|
1914 |
+
"loss": 2.3455,
|
1915 |
+
"step": 149500
|
1916 |
+
},
|
1917 |
+
{
|
1918 |
+
"epoch": 0.88,
|
1919 |
+
"learning_rate": 0.0002,
|
1920 |
+
"loss": 2.3398,
|
1921 |
+
"step": 150000
|
1922 |
+
},
|
1923 |
+
{
|
1924 |
+
"epoch": 0.88,
|
1925 |
+
"eval_loss": 2.672765016555786,
|
1926 |
+
"eval_runtime": 4814.8179,
|
1927 |
+
"eval_samples_per_second": 4.413,
|
1928 |
+
"eval_steps_per_second": 4.413,
|
1929 |
+
"step": 150000
|
1930 |
+
},
|
1931 |
+
{
|
1932 |
+
"epoch": 0.89,
|
1933 |
+
"learning_rate": 0.0002,
|
1934 |
+
"loss": 2.318,
|
1935 |
+
"step": 150500
|
1936 |
+
},
|
1937 |
+
{
|
1938 |
+
"epoch": 0.89,
|
1939 |
+
"learning_rate": 0.0002,
|
1940 |
+
"loss": 2.3638,
|
1941 |
+
"step": 151000
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.89,
|
1945 |
+
"learning_rate": 0.0002,
|
1946 |
+
"loss": 2.3714,
|
1947 |
+
"step": 151500
|
1948 |
+
},
|
1949 |
+
{
|
1950 |
+
"epoch": 0.89,
|
1951 |
+
"learning_rate": 0.0002,
|
1952 |
+
"loss": 2.334,
|
1953 |
+
"step": 152000
|
1954 |
+
},
|
1955 |
+
{
|
1956 |
+
"epoch": 0.9,
|
1957 |
+
"learning_rate": 0.0002,
|
1958 |
+
"loss": 2.3208,
|
1959 |
+
"step": 152500
|
1960 |
+
},
|
1961 |
+
{
|
1962 |
+
"epoch": 0.9,
|
1963 |
+
"learning_rate": 0.0002,
|
1964 |
+
"loss": 2.3684,
|
1965 |
+
"step": 153000
|
1966 |
+
},
|
1967 |
+
{
|
1968 |
+
"epoch": 0.9,
|
1969 |
+
"learning_rate": 0.0002,
|
1970 |
+
"loss": 2.3963,
|
1971 |
+
"step": 153500
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"epoch": 0.91,
|
1975 |
+
"learning_rate": 0.0002,
|
1976 |
+
"loss": 2.3087,
|
1977 |
+
"step": 154000
|
1978 |
+
},
|
1979 |
+
{
|
1980 |
+
"epoch": 0.91,
|
1981 |
+
"learning_rate": 0.0002,
|
1982 |
+
"loss": 2.3193,
|
1983 |
+
"step": 154500
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.91,
|
1987 |
+
"learning_rate": 0.0002,
|
1988 |
+
"loss": 2.3295,
|
1989 |
+
"step": 155000
|
1990 |
+
},
|
1991 |
+
{
|
1992 |
+
"epoch": 0.91,
|
1993 |
+
"learning_rate": 0.0002,
|
1994 |
+
"loss": 2.3711,
|
1995 |
+
"step": 155500
|
1996 |
+
},
|
1997 |
+
{
|
1998 |
+
"epoch": 0.92,
|
1999 |
+
"learning_rate": 0.0002,
|
2000 |
+
"loss": 2.3697,
|
2001 |
+
"step": 156000
|
2002 |
+
},
|
2003 |
+
{
|
2004 |
+
"epoch": 0.92,
|
2005 |
+
"learning_rate": 0.0002,
|
2006 |
+
"loss": 2.3053,
|
2007 |
+
"step": 156500
|
2008 |
+
},
|
2009 |
+
{
|
2010 |
+
"epoch": 0.92,
|
2011 |
+
"learning_rate": 0.0002,
|
2012 |
+
"loss": 2.3356,
|
2013 |
+
"step": 157000
|
2014 |
+
},
|
2015 |
+
{
|
2016 |
+
"epoch": 0.93,
|
2017 |
+
"learning_rate": 0.0002,
|
2018 |
+
"loss": 2.3786,
|
2019 |
+
"step": 157500
|
2020 |
+
},
|
2021 |
+
{
|
2022 |
+
"epoch": 0.93,
|
2023 |
+
"learning_rate": 0.0002,
|
2024 |
+
"loss": 2.3693,
|
2025 |
+
"step": 158000
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.93,
|
2029 |
+
"learning_rate": 0.0002,
|
2030 |
+
"loss": 2.3334,
|
2031 |
+
"step": 158500
|
2032 |
+
},
|
2033 |
+
{
|
2034 |
+
"epoch": 0.94,
|
2035 |
+
"learning_rate": 0.0002,
|
2036 |
+
"loss": 2.3657,
|
2037 |
+
"step": 159000
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"epoch": 0.94,
|
2041 |
+
"learning_rate": 0.0002,
|
2042 |
+
"loss": 2.3242,
|
2043 |
+
"step": 159500
|
2044 |
+
},
|
2045 |
+
{
|
2046 |
+
"epoch": 0.94,
|
2047 |
+
"learning_rate": 0.0002,
|
2048 |
+
"loss": 2.3508,
|
2049 |
+
"step": 160000
|
2050 |
+
},
|
2051 |
+
{
|
2052 |
+
"epoch": 0.94,
|
2053 |
+
"eval_loss": 2.671438694000244,
|
2054 |
+
"eval_runtime": 4816.9535,
|
2055 |
+
"eval_samples_per_second": 4.412,
|
2056 |
+
"eval_steps_per_second": 4.412,
|
2057 |
+
"step": 160000
|
2058 |
+
},
|
2059 |
+
{
|
2060 |
+
"epoch": 0.94,
|
2061 |
+
"learning_rate": 0.0002,
|
2062 |
+
"loss": 2.345,
|
2063 |
+
"step": 160500
|
2064 |
+
},
|
2065 |
+
{
|
2066 |
+
"epoch": 0.95,
|
2067 |
+
"learning_rate": 0.0002,
|
2068 |
+
"loss": 2.3409,
|
2069 |
+
"step": 161000
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"epoch": 0.95,
|
2073 |
+
"learning_rate": 0.0002,
|
2074 |
+
"loss": 2.3205,
|
2075 |
+
"step": 161500
|
2076 |
+
},
|
2077 |
+
{
|
2078 |
+
"epoch": 0.95,
|
2079 |
+
"learning_rate": 0.0002,
|
2080 |
+
"loss": 2.3881,
|
2081 |
+
"step": 162000
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.96,
|
2085 |
+
"learning_rate": 0.0002,
|
2086 |
+
"loss": 2.3543,
|
2087 |
+
"step": 162500
|
2088 |
+
},
|
2089 |
+
{
|
2090 |
+
"epoch": 0.96,
|
2091 |
+
"learning_rate": 0.0002,
|
2092 |
+
"loss": 2.3467,
|
2093 |
+
"step": 163000
|
2094 |
+
},
|
2095 |
+
{
|
2096 |
+
"epoch": 0.96,
|
2097 |
+
"learning_rate": 0.0002,
|
2098 |
+
"loss": 2.3788,
|
2099 |
+
"step": 163500
|
2100 |
+
},
|
2101 |
+
{
|
2102 |
+
"epoch": 0.96,
|
2103 |
+
"learning_rate": 0.0002,
|
2104 |
+
"loss": 2.359,
|
2105 |
+
"step": 164000
|
2106 |
+
},
|
2107 |
+
{
|
2108 |
+
"epoch": 0.97,
|
2109 |
+
"learning_rate": 0.0002,
|
2110 |
+
"loss": 2.339,
|
2111 |
+
"step": 164500
|
2112 |
+
},
|
2113 |
+
{
|
2114 |
+
"epoch": 0.97,
|
2115 |
+
"learning_rate": 0.0002,
|
2116 |
+
"loss": 2.3557,
|
2117 |
+
"step": 165000
|
2118 |
+
},
|
2119 |
+
{
|
2120 |
+
"epoch": 0.97,
|
2121 |
+
"learning_rate": 0.0002,
|
2122 |
+
"loss": 2.3321,
|
2123 |
+
"step": 165500
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.98,
|
2127 |
+
"learning_rate": 0.0002,
|
2128 |
+
"loss": 2.4048,
|
2129 |
+
"step": 166000
|
2130 |
+
},
|
2131 |
+
{
|
2132 |
+
"epoch": 0.98,
|
2133 |
+
"learning_rate": 0.0002,
|
2134 |
+
"loss": 2.3428,
|
2135 |
+
"step": 166500
|
2136 |
+
},
|
2137 |
+
{
|
2138 |
+
"epoch": 0.98,
|
2139 |
+
"learning_rate": 0.0002,
|
2140 |
+
"loss": 2.3249,
|
2141 |
+
"step": 167000
|
2142 |
+
},
|
2143 |
+
{
|
2144 |
+
"epoch": 0.99,
|
2145 |
+
"learning_rate": 0.0002,
|
2146 |
+
"loss": 2.3743,
|
2147 |
+
"step": 167500
|
2148 |
+
},
|
2149 |
+
{
|
2150 |
+
"epoch": 0.99,
|
2151 |
+
"learning_rate": 0.0002,
|
2152 |
+
"loss": 2.3225,
|
2153 |
+
"step": 168000
|
2154 |
+
},
|
2155 |
+
{
|
2156 |
+
"epoch": 0.99,
|
2157 |
+
"learning_rate": 0.0002,
|
2158 |
+
"loss": 2.3038,
|
2159 |
+
"step": 168500
|
2160 |
+
},
|
2161 |
+
{
|
2162 |
+
"epoch": 0.99,
|
2163 |
+
"learning_rate": 0.0002,
|
2164 |
+
"loss": 2.3347,
|
2165 |
+
"step": 169000
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 1.0,
|
2169 |
+
"learning_rate": 0.0002,
|
2170 |
+
"loss": 2.3798,
|
2171 |
+
"step": 169500
|
2172 |
+
},
|
2173 |
+
{
|
2174 |
+
"epoch": 1.0,
|
2175 |
+
"learning_rate": 0.0002,
|
2176 |
+
"loss": 2.3568,
|
2177 |
+
"step": 170000
|
2178 |
+
},
|
2179 |
+
{
|
2180 |
+
"epoch": 1.0,
|
2181 |
+
"eval_loss": 2.66947865486145,
|
2182 |
+
"eval_runtime": 4817.1455,
|
2183 |
+
"eval_samples_per_second": 4.411,
|
2184 |
+
"eval_steps_per_second": 4.411,
|
2185 |
+
"step": 170000
|
2186 |
+
}
|
2187 |
+
],
|
2188 |
+
"logging_steps": 500,
|
2189 |
+
"max_steps": 1699990,
|
2190 |
+
"num_train_epochs": 10,
|
2191 |
+
"save_steps": 1000,
|
2192 |
+
"total_flos": 1.772080615538583e+18,
|
2193 |
+
"trial_name": null,
|
2194 |
+
"trial_params": null
|
2195 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ba1ef854be2cf68a586c59f4b321a33d5cb40d16ca4cdd914cdec822258bfb8d
|
3 |
+
size 4219
|