Training in progress, epoch 0, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +34 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/added_tokens.json +34 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +30 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer.model +3 -0
- last-checkpoint/tokenizer_config.json +301 -0
- last-checkpoint/trainer_state.json +633 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: NousResearch/Hermes-2-Pro-Mistral-7B
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.13.2
|
last-checkpoint/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "NousResearch/Hermes-2-Pro-Mistral-7B",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 16,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 8,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"k_proj",
|
24 |
+
"up_proj",
|
25 |
+
"q_proj",
|
26 |
+
"v_proj",
|
27 |
+
"o_proj",
|
28 |
+
"down_proj",
|
29 |
+
"gate_proj"
|
30 |
+
],
|
31 |
+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
33 |
+
"use_rslora": false
|
34 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ff768b2d8c25b439ee3c5359206d9dd6ed90992eba169ee6561cb5d893de5e1a
|
3 |
+
size 83945296
|
last-checkpoint/added_tokens.json
ADDED
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<pad10>": 32010,
|
3 |
+
"<pad11>": 32011,
|
4 |
+
"<pad12>": 32012,
|
5 |
+
"<pad13>": 32013,
|
6 |
+
"<pad14>": 32014,
|
7 |
+
"<pad15>": 32015,
|
8 |
+
"<pad16>": 32016,
|
9 |
+
"<pad17>": 32017,
|
10 |
+
"<pad18>": 32018,
|
11 |
+
"<pad19>": 32019,
|
12 |
+
"<pad20>": 32020,
|
13 |
+
"<pad21>": 32021,
|
14 |
+
"<pad22>": 32022,
|
15 |
+
"<pad23>": 32023,
|
16 |
+
"<pad24>": 32024,
|
17 |
+
"<pad25>": 32025,
|
18 |
+
"<pad26>": 32026,
|
19 |
+
"<pad27>": 32027,
|
20 |
+
"<pad28>": 32028,
|
21 |
+
"<pad29>": 32029,
|
22 |
+
"<pad2>": 32002,
|
23 |
+
"<pad30>": 32030,
|
24 |
+
"<pad31>": 32031,
|
25 |
+
"<pad3>": 32003,
|
26 |
+
"<pad4>": 32004,
|
27 |
+
"<pad5>": 32005,
|
28 |
+
"<pad6>": 32006,
|
29 |
+
"<pad7>": 32007,
|
30 |
+
"<pad8>": 32008,
|
31 |
+
"<pad9>": 32009,
|
32 |
+
"<|im_end|>": 32000,
|
33 |
+
"<|im_start|>": 32001
|
34 |
+
}
|
last-checkpoint/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:63dc9feaa10e8bdaa80946a4d038733be0281692432be866263259f3827b32f5
|
3 |
+
size 43123028
|
last-checkpoint/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:09fb9cea0fb7d6bc24fe65358d92d242cd2f8190fa56ee9cab23e4db663dc68a
|
3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:705cabf5cbc3a6ab0feb67c77b9b453d59efcc939ce90d310af96e621810f990
|
3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "<|im_end|>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "</s>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
last-checkpoint/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
last-checkpoint/tokenizer_config.json
ADDED
@@ -0,0 +1,301 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": true,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "<unk>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": true
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<s>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"2": {
|
23 |
+
"content": "</s>",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": false,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": true
|
29 |
+
},
|
30 |
+
"32000": {
|
31 |
+
"content": "<|im_end|>",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": false,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": true
|
37 |
+
},
|
38 |
+
"32001": {
|
39 |
+
"content": "<|im_start|>",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": false,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": false
|
45 |
+
},
|
46 |
+
"32002": {
|
47 |
+
"content": "<pad2>",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": false,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": false
|
53 |
+
},
|
54 |
+
"32003": {
|
55 |
+
"content": "<pad3>",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": false,
|
58 |
+
"rstrip": false,
|
59 |
+
"single_word": false,
|
60 |
+
"special": false
|
61 |
+
},
|
62 |
+
"32004": {
|
63 |
+
"content": "<pad4>",
|
64 |
+
"lstrip": false,
|
65 |
+
"normalized": false,
|
66 |
+
"rstrip": false,
|
67 |
+
"single_word": false,
|
68 |
+
"special": false
|
69 |
+
},
|
70 |
+
"32005": {
|
71 |
+
"content": "<pad5>",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": false,
|
74 |
+
"rstrip": false,
|
75 |
+
"single_word": false,
|
76 |
+
"special": false
|
77 |
+
},
|
78 |
+
"32006": {
|
79 |
+
"content": "<pad6>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": false,
|
83 |
+
"single_word": false,
|
84 |
+
"special": false
|
85 |
+
},
|
86 |
+
"32007": {
|
87 |
+
"content": "<pad7>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": false,
|
91 |
+
"single_word": false,
|
92 |
+
"special": false
|
93 |
+
},
|
94 |
+
"32008": {
|
95 |
+
"content": "<pad8>",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": false,
|
98 |
+
"rstrip": false,
|
99 |
+
"single_word": false,
|
100 |
+
"special": false
|
101 |
+
},
|
102 |
+
"32009": {
|
103 |
+
"content": "<pad9>",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": false,
|
106 |
+
"rstrip": false,
|
107 |
+
"single_word": false,
|
108 |
+
"special": false
|
109 |
+
},
|
110 |
+
"32010": {
|
111 |
+
"content": "<pad10>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": false,
|
114 |
+
"rstrip": false,
|
115 |
+
"single_word": false,
|
116 |
+
"special": false
|
117 |
+
},
|
118 |
+
"32011": {
|
119 |
+
"content": "<pad11>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": false,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false,
|
124 |
+
"special": false
|
125 |
+
},
|
126 |
+
"32012": {
|
127 |
+
"content": "<pad12>",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": false,
|
130 |
+
"rstrip": false,
|
131 |
+
"single_word": false,
|
132 |
+
"special": false
|
133 |
+
},
|
134 |
+
"32013": {
|
135 |
+
"content": "<pad13>",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": false,
|
138 |
+
"rstrip": false,
|
139 |
+
"single_word": false,
|
140 |
+
"special": false
|
141 |
+
},
|
142 |
+
"32014": {
|
143 |
+
"content": "<pad14>",
|
144 |
+
"lstrip": false,
|
145 |
+
"normalized": false,
|
146 |
+
"rstrip": false,
|
147 |
+
"single_word": false,
|
148 |
+
"special": false
|
149 |
+
},
|
150 |
+
"32015": {
|
151 |
+
"content": "<pad15>",
|
152 |
+
"lstrip": false,
|
153 |
+
"normalized": false,
|
154 |
+
"rstrip": false,
|
155 |
+
"single_word": false,
|
156 |
+
"special": false
|
157 |
+
},
|
158 |
+
"32016": {
|
159 |
+
"content": "<pad16>",
|
160 |
+
"lstrip": false,
|
161 |
+
"normalized": false,
|
162 |
+
"rstrip": false,
|
163 |
+
"single_word": false,
|
164 |
+
"special": false
|
165 |
+
},
|
166 |
+
"32017": {
|
167 |
+
"content": "<pad17>",
|
168 |
+
"lstrip": false,
|
169 |
+
"normalized": false,
|
170 |
+
"rstrip": false,
|
171 |
+
"single_word": false,
|
172 |
+
"special": false
|
173 |
+
},
|
174 |
+
"32018": {
|
175 |
+
"content": "<pad18>",
|
176 |
+
"lstrip": false,
|
177 |
+
"normalized": false,
|
178 |
+
"rstrip": false,
|
179 |
+
"single_word": false,
|
180 |
+
"special": false
|
181 |
+
},
|
182 |
+
"32019": {
|
183 |
+
"content": "<pad19>",
|
184 |
+
"lstrip": false,
|
185 |
+
"normalized": false,
|
186 |
+
"rstrip": false,
|
187 |
+
"single_word": false,
|
188 |
+
"special": false
|
189 |
+
},
|
190 |
+
"32020": {
|
191 |
+
"content": "<pad20>",
|
192 |
+
"lstrip": false,
|
193 |
+
"normalized": false,
|
194 |
+
"rstrip": false,
|
195 |
+
"single_word": false,
|
196 |
+
"special": false
|
197 |
+
},
|
198 |
+
"32021": {
|
199 |
+
"content": "<pad21>",
|
200 |
+
"lstrip": false,
|
201 |
+
"normalized": false,
|
202 |
+
"rstrip": false,
|
203 |
+
"single_word": false,
|
204 |
+
"special": false
|
205 |
+
},
|
206 |
+
"32022": {
|
207 |
+
"content": "<pad22>",
|
208 |
+
"lstrip": false,
|
209 |
+
"normalized": false,
|
210 |
+
"rstrip": false,
|
211 |
+
"single_word": false,
|
212 |
+
"special": false
|
213 |
+
},
|
214 |
+
"32023": {
|
215 |
+
"content": "<pad23>",
|
216 |
+
"lstrip": false,
|
217 |
+
"normalized": false,
|
218 |
+
"rstrip": false,
|
219 |
+
"single_word": false,
|
220 |
+
"special": false
|
221 |
+
},
|
222 |
+
"32024": {
|
223 |
+
"content": "<pad24>",
|
224 |
+
"lstrip": false,
|
225 |
+
"normalized": false,
|
226 |
+
"rstrip": false,
|
227 |
+
"single_word": false,
|
228 |
+
"special": false
|
229 |
+
},
|
230 |
+
"32025": {
|
231 |
+
"content": "<pad25>",
|
232 |
+
"lstrip": false,
|
233 |
+
"normalized": false,
|
234 |
+
"rstrip": false,
|
235 |
+
"single_word": false,
|
236 |
+
"special": false
|
237 |
+
},
|
238 |
+
"32026": {
|
239 |
+
"content": "<pad26>",
|
240 |
+
"lstrip": false,
|
241 |
+
"normalized": false,
|
242 |
+
"rstrip": false,
|
243 |
+
"single_word": false,
|
244 |
+
"special": false
|
245 |
+
},
|
246 |
+
"32027": {
|
247 |
+
"content": "<pad27>",
|
248 |
+
"lstrip": false,
|
249 |
+
"normalized": false,
|
250 |
+
"rstrip": false,
|
251 |
+
"single_word": false,
|
252 |
+
"special": false
|
253 |
+
},
|
254 |
+
"32028": {
|
255 |
+
"content": "<pad28>",
|
256 |
+
"lstrip": false,
|
257 |
+
"normalized": false,
|
258 |
+
"rstrip": false,
|
259 |
+
"single_word": false,
|
260 |
+
"special": false
|
261 |
+
},
|
262 |
+
"32029": {
|
263 |
+
"content": "<pad29>",
|
264 |
+
"lstrip": false,
|
265 |
+
"normalized": false,
|
266 |
+
"rstrip": false,
|
267 |
+
"single_word": false,
|
268 |
+
"special": false
|
269 |
+
},
|
270 |
+
"32030": {
|
271 |
+
"content": "<pad30>",
|
272 |
+
"lstrip": false,
|
273 |
+
"normalized": false,
|
274 |
+
"rstrip": false,
|
275 |
+
"single_word": false,
|
276 |
+
"special": false
|
277 |
+
},
|
278 |
+
"32031": {
|
279 |
+
"content": "<pad31>",
|
280 |
+
"lstrip": false,
|
281 |
+
"normalized": false,
|
282 |
+
"rstrip": false,
|
283 |
+
"single_word": false,
|
284 |
+
"special": false
|
285 |
+
}
|
286 |
+
},
|
287 |
+
"additional_special_tokens": [],
|
288 |
+
"bos_token": "<s>",
|
289 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
290 |
+
"clean_up_tokenization_spaces": true,
|
291 |
+
"eos_token": "<|im_end|>",
|
292 |
+
"legacy": true,
|
293 |
+
"model_max_length": 1000000000000000019884624838656,
|
294 |
+
"pad_token": "</s>",
|
295 |
+
"sp_model_kwargs": {},
|
296 |
+
"spaces_between_special_tokens": false,
|
297 |
+
"tokenizer_class": "LlamaTokenizer",
|
298 |
+
"unk_token": "<unk>",
|
299 |
+
"use_default_system_prompt": false,
|
300 |
+
"use_fast": true
|
301 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,633 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.014284056314892022,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 400,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 3.5710140787230054e-05,
|
13 |
+
"eval_loss": 3.6428475379943848,
|
14 |
+
"eval_runtime": 937.0093,
|
15 |
+
"eval_samples_per_second": 12.584,
|
16 |
+
"eval_steps_per_second": 6.292,
|
17 |
+
"step": 1
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.00017855070393615026,
|
21 |
+
"grad_norm": 38.791404724121094,
|
22 |
+
"learning_rate": 1.6666666666666667e-05,
|
23 |
+
"loss": 11.968,
|
24 |
+
"step": 5
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.0003571014078723005,
|
28 |
+
"grad_norm": 35.7210693359375,
|
29 |
+
"learning_rate": 3.3333333333333335e-05,
|
30 |
+
"loss": 11.3643,
|
31 |
+
"step": 10
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.0005356521118084508,
|
35 |
+
"grad_norm": 51.62553405761719,
|
36 |
+
"learning_rate": 5e-05,
|
37 |
+
"loss": 11.0627,
|
38 |
+
"step": 15
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.000714202815744601,
|
42 |
+
"grad_norm": 33.5948486328125,
|
43 |
+
"learning_rate": 6.666666666666667e-05,
|
44 |
+
"loss": 10.9834,
|
45 |
+
"step": 20
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.0008927535196807514,
|
49 |
+
"grad_norm": 26.09846305847168,
|
50 |
+
"learning_rate": 8.333333333333334e-05,
|
51 |
+
"loss": 9.9911,
|
52 |
+
"step": 25
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.0010713042236169016,
|
56 |
+
"grad_norm": 25.926218032836914,
|
57 |
+
"learning_rate": 0.0001,
|
58 |
+
"loss": 8.5237,
|
59 |
+
"step": 30
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.0012498549275530518,
|
63 |
+
"grad_norm": 28.499187469482422,
|
64 |
+
"learning_rate": 9.995494831023409e-05,
|
65 |
+
"loss": 8.7897,
|
66 |
+
"step": 35
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.001428405631489202,
|
70 |
+
"grad_norm": 23.874563217163086,
|
71 |
+
"learning_rate": 9.981987442712633e-05,
|
72 |
+
"loss": 8.4972,
|
73 |
+
"step": 40
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.0016069563354253525,
|
77 |
+
"grad_norm": 42.67042541503906,
|
78 |
+
"learning_rate": 9.959502176294383e-05,
|
79 |
+
"loss": 6.3415,
|
80 |
+
"step": 45
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.0017855070393615028,
|
84 |
+
"grad_norm": 39.73894119262695,
|
85 |
+
"learning_rate": 9.928079551738543e-05,
|
86 |
+
"loss": 8.4446,
|
87 |
+
"step": 50
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.001964057743297653,
|
91 |
+
"grad_norm": 12.979087829589844,
|
92 |
+
"learning_rate": 9.887776194738432e-05,
|
93 |
+
"loss": 8.0323,
|
94 |
+
"step": 55
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.002142608447233803,
|
98 |
+
"grad_norm": 14.714144706726074,
|
99 |
+
"learning_rate": 9.838664734667495e-05,
|
100 |
+
"loss": 8.7265,
|
101 |
+
"step": 60
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.0023211591511699534,
|
105 |
+
"grad_norm": 15.2055025100708,
|
106 |
+
"learning_rate": 9.780833673696254e-05,
|
107 |
+
"loss": 8.29,
|
108 |
+
"step": 65
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.0024997098551061037,
|
112 |
+
"grad_norm": 13.198466300964355,
|
113 |
+
"learning_rate": 9.714387227305422e-05,
|
114 |
+
"loss": 7.7719,
|
115 |
+
"step": 70
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.002678260559042254,
|
119 |
+
"grad_norm": 13.788397789001465,
|
120 |
+
"learning_rate": 9.639445136482548e-05,
|
121 |
+
"loss": 7.7218,
|
122 |
+
"step": 75
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.002856811262978404,
|
126 |
+
"grad_norm": 13.282957077026367,
|
127 |
+
"learning_rate": 9.55614245194068e-05,
|
128 |
+
"loss": 7.6602,
|
129 |
+
"step": 80
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.0030353619669145544,
|
133 |
+
"grad_norm": 25.1441650390625,
|
134 |
+
"learning_rate": 9.464629290747842e-05,
|
135 |
+
"loss": 7.1881,
|
136 |
+
"step": 85
|
137 |
+
},
|
138 |
+
{
|
139 |
+
"epoch": 0.003213912670850705,
|
140 |
+
"grad_norm": 27.624034881591797,
|
141 |
+
"learning_rate": 9.365070565805941e-05,
|
142 |
+
"loss": 7.9707,
|
143 |
+
"step": 90
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 0.0033924633747868553,
|
147 |
+
"grad_norm": 22.605091094970703,
|
148 |
+
"learning_rate": 9.257645688666556e-05,
|
149 |
+
"loss": 6.7703,
|
150 |
+
"step": 95
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.0035710140787230055,
|
154 |
+
"grad_norm": 32.28632736206055,
|
155 |
+
"learning_rate": 9.142548246219212e-05,
|
156 |
+
"loss": 7.0126,
|
157 |
+
"step": 100
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.0035710140787230055,
|
161 |
+
"eval_loss": 1.9531031847000122,
|
162 |
+
"eval_runtime": 941.1342,
|
163 |
+
"eval_samples_per_second": 12.529,
|
164 |
+
"eval_steps_per_second": 6.265,
|
165 |
+
"step": 100
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.0037495647826591557,
|
169 |
+
"grad_norm": 12.703049659729004,
|
170 |
+
"learning_rate": 9.019985651834703e-05,
|
171 |
+
"loss": 8.9811,
|
172 |
+
"step": 105
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 0.003928115486595306,
|
176 |
+
"grad_norm": 11.499811172485352,
|
177 |
+
"learning_rate": 8.890178771592199e-05,
|
178 |
+
"loss": 8.2825,
|
179 |
+
"step": 110
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.004106666190531456,
|
183 |
+
"grad_norm": 13.487603187561035,
|
184 |
+
"learning_rate": 8.753361526263621e-05,
|
185 |
+
"loss": 8.3682,
|
186 |
+
"step": 115
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.004285216894467606,
|
190 |
+
"grad_norm": 11.988139152526855,
|
191 |
+
"learning_rate": 8.609780469772623e-05,
|
192 |
+
"loss": 7.4035,
|
193 |
+
"step": 120
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 0.004463767598403757,
|
197 |
+
"grad_norm": 14.901617050170898,
|
198 |
+
"learning_rate": 8.459694344887732e-05,
|
199 |
+
"loss": 7.1697,
|
200 |
+
"step": 125
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.004642318302339907,
|
204 |
+
"grad_norm": 18.64742088317871,
|
205 |
+
"learning_rate": 8.303373616950408e-05,
|
206 |
+
"loss": 7.3505,
|
207 |
+
"step": 130
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.004820869006276057,
|
211 |
+
"grad_norm": 18.702434539794922,
|
212 |
+
"learning_rate": 8.141099986478212e-05,
|
213 |
+
"loss": 7.5959,
|
214 |
+
"step": 135
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 0.004999419710212207,
|
218 |
+
"grad_norm": 18.720998764038086,
|
219 |
+
"learning_rate": 7.973165881521434e-05,
|
220 |
+
"loss": 7.286,
|
221 |
+
"step": 140
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 0.005177970414148358,
|
225 |
+
"grad_norm": 28.588218688964844,
|
226 |
+
"learning_rate": 7.799873930687978e-05,
|
227 |
+
"loss": 7.4316,
|
228 |
+
"step": 145
|
229 |
+
},
|
230 |
+
{
|
231 |
+
"epoch": 0.005356521118084508,
|
232 |
+
"grad_norm": 28.344491958618164,
|
233 |
+
"learning_rate": 7.621536417786159e-05,
|
234 |
+
"loss": 6.0416,
|
235 |
+
"step": 150
|
236 |
+
},
|
237 |
+
{
|
238 |
+
"epoch": 0.005535071822020658,
|
239 |
+
"grad_norm": 10.961862564086914,
|
240 |
+
"learning_rate": 7.438474719068173e-05,
|
241 |
+
"loss": 8.0463,
|
242 |
+
"step": 155
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.005713622525956808,
|
246 |
+
"grad_norm": 10.041893005371094,
|
247 |
+
"learning_rate": 7.251018724088367e-05,
|
248 |
+
"loss": 7.8733,
|
249 |
+
"step": 160
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.0058921732298929585,
|
253 |
+
"grad_norm": 12.03637409210205,
|
254 |
+
"learning_rate": 7.059506241219965e-05,
|
255 |
+
"loss": 7.9375,
|
256 |
+
"step": 165
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 0.006070723933829109,
|
260 |
+
"grad_norm": 10.636992454528809,
|
261 |
+
"learning_rate": 6.864282388901544e-05,
|
262 |
+
"loss": 6.9809,
|
263 |
+
"step": 170
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 0.006249274637765259,
|
267 |
+
"grad_norm": 12.5416259765625,
|
268 |
+
"learning_rate": 6.665698973710288e-05,
|
269 |
+
"loss": 7.0759,
|
270 |
+
"step": 175
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 0.00642782534170141,
|
274 |
+
"grad_norm": 12.943763732910156,
|
275 |
+
"learning_rate": 6.464113856382752e-05,
|
276 |
+
"loss": 8.2749,
|
277 |
+
"step": 180
|
278 |
+
},
|
279 |
+
{
|
280 |
+
"epoch": 0.00660637604563756,
|
281 |
+
"grad_norm": 23.98349380493164,
|
282 |
+
"learning_rate": 6.259890306925627e-05,
|
283 |
+
"loss": 8.2475,
|
284 |
+
"step": 185
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.0067849267495737105,
|
288 |
+
"grad_norm": 17.99372673034668,
|
289 |
+
"learning_rate": 6.0533963499786314e-05,
|
290 |
+
"loss": 7.7457,
|
291 |
+
"step": 190
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.006963477453509861,
|
295 |
+
"grad_norm": 138.98828125,
|
296 |
+
"learning_rate": 5.8450041016092464e-05,
|
297 |
+
"loss": 6.9963,
|
298 |
+
"step": 195
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 0.007142028157446011,
|
302 |
+
"grad_norm": 66.58040618896484,
|
303 |
+
"learning_rate": 5.6350890987343944e-05,
|
304 |
+
"loss": 7.6597,
|
305 |
+
"step": 200
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 0.007142028157446011,
|
309 |
+
"eval_loss": 1.931018352508545,
|
310 |
+
"eval_runtime": 940.4445,
|
311 |
+
"eval_samples_per_second": 12.538,
|
312 |
+
"eval_steps_per_second": 6.269,
|
313 |
+
"step": 200
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.007320578861382161,
|
317 |
+
"grad_norm": 10.602204322814941,
|
318 |
+
"learning_rate": 5.4240296223775465e-05,
|
319 |
+
"loss": 8.5977,
|
320 |
+
"step": 205
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.0074991295653183115,
|
324 |
+
"grad_norm": 9.361373901367188,
|
325 |
+
"learning_rate": 5.212206015980742e-05,
|
326 |
+
"loss": 8.1387,
|
327 |
+
"step": 210
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 0.007677680269254462,
|
331 |
+
"grad_norm": 12.178308486938477,
|
332 |
+
"learning_rate": 5e-05,
|
333 |
+
"loss": 8.6586,
|
334 |
+
"step": 215
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 0.007856230973190612,
|
338 |
+
"grad_norm": 11.601183891296387,
|
339 |
+
"learning_rate": 4.78779398401926e-05,
|
340 |
+
"loss": 7.8519,
|
341 |
+
"step": 220
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 0.008034781677126762,
|
345 |
+
"grad_norm": 10.347457885742188,
|
346 |
+
"learning_rate": 4.575970377622456e-05,
|
347 |
+
"loss": 8.2135,
|
348 |
+
"step": 225
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 0.008213332381062912,
|
352 |
+
"grad_norm": 20.473297119140625,
|
353 |
+
"learning_rate": 4.364910901265606e-05,
|
354 |
+
"loss": 7.7113,
|
355 |
+
"step": 230
|
356 |
+
},
|
357 |
+
{
|
358 |
+
"epoch": 0.008391883084999063,
|
359 |
+
"grad_norm": 23.3872013092041,
|
360 |
+
"learning_rate": 4.1549958983907555e-05,
|
361 |
+
"loss": 7.4215,
|
362 |
+
"step": 235
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.008570433788935213,
|
366 |
+
"grad_norm": 14.155945777893066,
|
367 |
+
"learning_rate": 3.94660365002137e-05,
|
368 |
+
"loss": 7.2813,
|
369 |
+
"step": 240
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.008748984492871363,
|
373 |
+
"grad_norm": 20.56569480895996,
|
374 |
+
"learning_rate": 3.740109693074375e-05,
|
375 |
+
"loss": 7.1628,
|
376 |
+
"step": 245
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 0.008927535196807513,
|
380 |
+
"grad_norm": 39.14048767089844,
|
381 |
+
"learning_rate": 3.5358861436172485e-05,
|
382 |
+
"loss": 6.7286,
|
383 |
+
"step": 250
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 0.009106085900743664,
|
387 |
+
"grad_norm": 10.889725685119629,
|
388 |
+
"learning_rate": 3.334301026289712e-05,
|
389 |
+
"loss": 8.241,
|
390 |
+
"step": 255
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.009284636604679814,
|
394 |
+
"grad_norm": 11.478461265563965,
|
395 |
+
"learning_rate": 3.135717611098458e-05,
|
396 |
+
"loss": 7.8557,
|
397 |
+
"step": 260
|
398 |
+
},
|
399 |
+
{
|
400 |
+
"epoch": 0.009463187308615964,
|
401 |
+
"grad_norm": 10.177154541015625,
|
402 |
+
"learning_rate": 2.9404937587800375e-05,
|
403 |
+
"loss": 7.7535,
|
404 |
+
"step": 265
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.009641738012552114,
|
408 |
+
"grad_norm": 13.540087699890137,
|
409 |
+
"learning_rate": 2.748981275911633e-05,
|
410 |
+
"loss": 7.5926,
|
411 |
+
"step": 270
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 0.009820288716488264,
|
415 |
+
"grad_norm": 14.206275939941406,
|
416 |
+
"learning_rate": 2.5615252809318284e-05,
|
417 |
+
"loss": 7.7778,
|
418 |
+
"step": 275
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 0.009998839420424415,
|
422 |
+
"grad_norm": 12.470731735229492,
|
423 |
+
"learning_rate": 2.3784635822138424e-05,
|
424 |
+
"loss": 7.5519,
|
425 |
+
"step": 280
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 0.010177390124360565,
|
429 |
+
"grad_norm": 12.996101379394531,
|
430 |
+
"learning_rate": 2.2001260693120233e-05,
|
431 |
+
"loss": 7.4359,
|
432 |
+
"step": 285
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 0.010355940828296715,
|
436 |
+
"grad_norm": 19.329702377319336,
|
437 |
+
"learning_rate": 2.026834118478567e-05,
|
438 |
+
"loss": 7.4877,
|
439 |
+
"step": 290
|
440 |
+
},
|
441 |
+
{
|
442 |
+
"epoch": 0.010534491532232865,
|
443 |
+
"grad_norm": 20.063732147216797,
|
444 |
+
"learning_rate": 1.858900013521788e-05,
|
445 |
+
"loss": 6.4413,
|
446 |
+
"step": 295
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.010713042236169016,
|
450 |
+
"grad_norm": 30.000850677490234,
|
451 |
+
"learning_rate": 1.6966263830495936e-05,
|
452 |
+
"loss": 6.3928,
|
453 |
+
"step": 300
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 0.010713042236169016,
|
457 |
+
"eval_loss": 1.8319700956344604,
|
458 |
+
"eval_runtime": 940.4975,
|
459 |
+
"eval_samples_per_second": 12.537,
|
460 |
+
"eval_steps_per_second": 6.269,
|
461 |
+
"step": 300
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 0.010891592940105166,
|
465 |
+
"grad_norm": 11.116142272949219,
|
466 |
+
"learning_rate": 1.5403056551122697e-05,
|
467 |
+
"loss": 7.8649,
|
468 |
+
"step": 305
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 0.011070143644041316,
|
472 |
+
"grad_norm": 10.031145095825195,
|
473 |
+
"learning_rate": 1.3902195302273779e-05,
|
474 |
+
"loss": 7.8468,
|
475 |
+
"step": 310
|
476 |
+
},
|
477 |
+
{
|
478 |
+
"epoch": 0.011248694347977466,
|
479 |
+
"grad_norm": 10.915895462036133,
|
480 |
+
"learning_rate": 1.246638473736378e-05,
|
481 |
+
"loss": 8.6783,
|
482 |
+
"step": 315
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.011427245051913617,
|
486 |
+
"grad_norm": 12.510370254516602,
|
487 |
+
"learning_rate": 1.1098212284078036e-05,
|
488 |
+
"loss": 7.5022,
|
489 |
+
"step": 320
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.011605795755849767,
|
493 |
+
"grad_norm": 11.837886810302734,
|
494 |
+
"learning_rate": 9.800143481652979e-06,
|
495 |
+
"loss": 7.7391,
|
496 |
+
"step": 325
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 0.011784346459785917,
|
500 |
+
"grad_norm": 17.98138427734375,
|
501 |
+
"learning_rate": 8.574517537807897e-06,
|
502 |
+
"loss": 7.7047,
|
503 |
+
"step": 330
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 0.011962897163722067,
|
507 |
+
"grad_norm": 11.747542381286621,
|
508 |
+
"learning_rate": 7.423543113334436e-06,
|
509 |
+
"loss": 6.1822,
|
510 |
+
"step": 335
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 0.012141447867658217,
|
514 |
+
"grad_norm": 20.17440414428711,
|
515 |
+
"learning_rate": 6.349294341940593e-06,
|
516 |
+
"loss": 7.4627,
|
517 |
+
"step": 340
|
518 |
+
},
|
519 |
+
{
|
520 |
+
"epoch": 0.012319998571594368,
|
521 |
+
"grad_norm": 15.974550247192383,
|
522 |
+
"learning_rate": 5.353707092521582e-06,
|
523 |
+
"loss": 6.0153,
|
524 |
+
"step": 345
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 0.012498549275530518,
|
528 |
+
"grad_norm": 17.395343780517578,
|
529 |
+
"learning_rate": 4.43857548059321e-06,
|
530 |
+
"loss": 5.7713,
|
531 |
+
"step": 350
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 0.012677099979466668,
|
535 |
+
"grad_norm": 9.948678970336914,
|
536 |
+
"learning_rate": 3.605548635174533e-06,
|
537 |
+
"loss": 7.4623,
|
538 |
+
"step": 355
|
539 |
+
},
|
540 |
+
{
|
541 |
+
"epoch": 0.01285565068340282,
|
542 |
+
"grad_norm": 12.097657203674316,
|
543 |
+
"learning_rate": 2.85612772694579e-06,
|
544 |
+
"loss": 8.4925,
|
545 |
+
"step": 360
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 0.01303420138733897,
|
549 |
+
"grad_norm": 9.868169784545898,
|
550 |
+
"learning_rate": 2.191663263037458e-06,
|
551 |
+
"loss": 8.0455,
|
552 |
+
"step": 365
|
553 |
+
},
|
554 |
+
{
|
555 |
+
"epoch": 0.01321275209127512,
|
556 |
+
"grad_norm": 10.206999778747559,
|
557 |
+
"learning_rate": 1.6133526533250565e-06,
|
558 |
+
"loss": 7.8219,
|
559 |
+
"step": 370
|
560 |
+
},
|
561 |
+
{
|
562 |
+
"epoch": 0.01339130279521127,
|
563 |
+
"grad_norm": 11.312124252319336,
|
564 |
+
"learning_rate": 1.1222380526156928e-06,
|
565 |
+
"loss": 7.3541,
|
566 |
+
"step": 375
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.013569853499147421,
|
570 |
+
"grad_norm": 17.35927963256836,
|
571 |
+
"learning_rate": 7.192044826145771e-07,
|
572 |
+
"loss": 6.85,
|
573 |
+
"step": 380
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 0.013748404203083571,
|
577 |
+
"grad_norm": 13.923419952392578,
|
578 |
+
"learning_rate": 4.049782370561583e-07,
|
579 |
+
"loss": 7.0878,
|
580 |
+
"step": 385
|
581 |
+
},
|
582 |
+
{
|
583 |
+
"epoch": 0.013926954907019722,
|
584 |
+
"grad_norm": 14.711668968200684,
|
585 |
+
"learning_rate": 1.8012557287367392e-07,
|
586 |
+
"loss": 6.3097,
|
587 |
+
"step": 390
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 0.014105505610955872,
|
591 |
+
"grad_norm": 13.454591751098633,
|
592 |
+
"learning_rate": 4.5051689765929214e-08,
|
593 |
+
"loss": 5.6845,
|
594 |
+
"step": 395
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 0.014284056314892022,
|
598 |
+
"grad_norm": 45.98155212402344,
|
599 |
+
"learning_rate": 0.0,
|
600 |
+
"loss": 7.6137,
|
601 |
+
"step": 400
|
602 |
+
},
|
603 |
+
{
|
604 |
+
"epoch": 0.014284056314892022,
|
605 |
+
"eval_loss": 1.823633074760437,
|
606 |
+
"eval_runtime": 941.154,
|
607 |
+
"eval_samples_per_second": 12.528,
|
608 |
+
"eval_steps_per_second": 6.265,
|
609 |
+
"step": 400
|
610 |
+
}
|
611 |
+
],
|
612 |
+
"logging_steps": 5,
|
613 |
+
"max_steps": 400,
|
614 |
+
"num_input_tokens_seen": 0,
|
615 |
+
"num_train_epochs": 1,
|
616 |
+
"save_steps": 500,
|
617 |
+
"stateful_callbacks": {
|
618 |
+
"TrainerControl": {
|
619 |
+
"args": {
|
620 |
+
"should_epoch_stop": false,
|
621 |
+
"should_evaluate": false,
|
622 |
+
"should_log": false,
|
623 |
+
"should_save": true,
|
624 |
+
"should_training_stop": true
|
625 |
+
},
|
626 |
+
"attributes": {}
|
627 |
+
}
|
628 |
+
},
|
629 |
+
"total_flos": 1.402161598562304e+17,
|
630 |
+
"train_batch_size": 2,
|
631 |
+
"trial_name": null,
|
632 |
+
"trial_params": null
|
633 |
+
}
|
last-checkpoint/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:711fd0a8776491c340764f8720dbd442fe9f3e06dbf469c6b93e48079cce3993
|
3 |
+
size 6776
|