beast33 commited on
Commit
2025d1e
·
verified ·
1 Parent(s): eb1f72a

Training in progress, step 100, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Qwen/Qwen1.5-7B
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": "Qwen/Qwen1.5-7B",
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": 128,
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": 64,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "up_proj",
24
+ "gate_proj",
25
+ "down_proj",
26
+ "k_proj",
27
+ "v_proj",
28
+ "q_proj",
29
+ "o_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 sha256:507c2474c0859462da5a3a4464e445f5b1353d59afb158d5777cb0a99b23a26f
3
+ size 639691872
last-checkpoint/added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "<|endoftext|>": 151643,
3
+ "<|im_end|>": 151645,
4
+ "<|im_start|>": 151644
5
+ }
last-checkpoint/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
last-checkpoint/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:66b73cec37dfb3a04acc9b644ede93fe9c0efbb046f5f2c97ba6e97c666a788b
3
+ size 325339796
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b8b04de37023d84ce0bf9b7cac30701b61670b1b9d8b8753b9085591bf65b5fd
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bffb23e581190df69e35a2a268f7e5de07b7d09aea7404bfc95dfe373f1f88ab
3
+ size 1064
last-checkpoint/special_tokens_map.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>"
5
+ ],
6
+ "eos_token": {
7
+ "content": "<|endoftext|>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "pad_token": {
14
+ "content": "<|endoftext|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ }
20
+ }
last-checkpoint/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bcfe42da0a4497e8b2b172c1f9f4ec423a46dc12907f4349c55025f670422ba9
3
+ size 11418266
last-checkpoint/tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "151643": {
5
+ "content": "<|endoftext|>",
6
+ "lstrip": false,
7
+ "normalized": false,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "151644": {
13
+ "content": "<|im_start|>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "151645": {
21
+ "content": "<|im_end|>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ }
28
+ },
29
+ "additional_special_tokens": [
30
+ "<|im_start|>",
31
+ "<|im_end|>"
32
+ ],
33
+ "bos_token": null,
34
+ "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 %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "<|endoftext|>",
37
+ "errors": "replace",
38
+ "model_max_length": 32768,
39
+ "pad_token": "<|endoftext|>",
40
+ "split_special_tokens": false,
41
+ "tokenizer_class": "Qwen2Tokenizer",
42
+ "unk_token": null
43
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,758 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.6783268451690674,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-100",
4
+ "epoch": 0.2770083102493075,
5
+ "eval_steps": 100,
6
+ "global_step": 100,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.002770083102493075,
13
+ "grad_norm": 0.9283442497253418,
14
+ "learning_rate": 5e-06,
15
+ "loss": 2.05,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.002770083102493075,
20
+ "eval_loss": 2.1240499019622803,
21
+ "eval_runtime": 95.1756,
22
+ "eval_samples_per_second": 6.388,
23
+ "eval_steps_per_second": 1.597,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.00554016620498615,
28
+ "grad_norm": 0.955880343914032,
29
+ "learning_rate": 1e-05,
30
+ "loss": 2.0261,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.008310249307479225,
35
+ "grad_norm": 0.9946913123130798,
36
+ "learning_rate": 1.5e-05,
37
+ "loss": 2.0557,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.0110803324099723,
42
+ "grad_norm": 0.9017006158828735,
43
+ "learning_rate": 2e-05,
44
+ "loss": 2.0127,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.013850415512465374,
49
+ "grad_norm": 1.0481677055358887,
50
+ "learning_rate": 2.5e-05,
51
+ "loss": 1.9824,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.01662049861495845,
56
+ "grad_norm": 0.7929118275642395,
57
+ "learning_rate": 3e-05,
58
+ "loss": 2.0085,
59
+ "step": 6
60
+ },
61
+ {
62
+ "epoch": 0.019390581717451522,
63
+ "grad_norm": 0.7500401139259338,
64
+ "learning_rate": 3.5e-05,
65
+ "loss": 1.9579,
66
+ "step": 7
67
+ },
68
+ {
69
+ "epoch": 0.0221606648199446,
70
+ "grad_norm": 0.6779894232749939,
71
+ "learning_rate": 4e-05,
72
+ "loss": 1.9187,
73
+ "step": 8
74
+ },
75
+ {
76
+ "epoch": 0.024930747922437674,
77
+ "grad_norm": 0.644287645816803,
78
+ "learning_rate": 4.5e-05,
79
+ "loss": 1.9291,
80
+ "step": 9
81
+ },
82
+ {
83
+ "epoch": 0.027700831024930747,
84
+ "grad_norm": 0.6950892806053162,
85
+ "learning_rate": 5e-05,
86
+ "loss": 1.9033,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.030470914127423823,
91
+ "grad_norm": 0.6530030369758606,
92
+ "learning_rate": 5.500000000000001e-05,
93
+ "loss": 1.849,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.0332409972299169,
98
+ "grad_norm": 0.6152698993682861,
99
+ "learning_rate": 6e-05,
100
+ "loss": 1.8331,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.036011080332409975,
105
+ "grad_norm": 0.638900637626648,
106
+ "learning_rate": 6.500000000000001e-05,
107
+ "loss": 1.7434,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.038781163434903045,
112
+ "grad_norm": 0.6423549056053162,
113
+ "learning_rate": 7e-05,
114
+ "loss": 1.809,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.04155124653739612,
119
+ "grad_norm": 0.6707618236541748,
120
+ "learning_rate": 7.500000000000001e-05,
121
+ "loss": 1.8022,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.0443213296398892,
126
+ "grad_norm": 0.6206409335136414,
127
+ "learning_rate": 8e-05,
128
+ "loss": 1.7494,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.04709141274238227,
133
+ "grad_norm": 0.5846340656280518,
134
+ "learning_rate": 8.5e-05,
135
+ "loss": 1.7886,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.04986149584487535,
140
+ "grad_norm": 0.5503649115562439,
141
+ "learning_rate": 9e-05,
142
+ "loss": 1.7373,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.05263157894736842,
147
+ "grad_norm": 0.55040043592453,
148
+ "learning_rate": 9.5e-05,
149
+ "loss": 1.7224,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.055401662049861494,
154
+ "grad_norm": 0.5535205006599426,
155
+ "learning_rate": 0.0001,
156
+ "loss": 1.6901,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.05817174515235457,
161
+ "grad_norm": 0.559658408164978,
162
+ "learning_rate": 9.999787808528638e-05,
163
+ "loss": 1.6755,
164
+ "step": 21
165
+ },
166
+ {
167
+ "epoch": 0.060941828254847646,
168
+ "grad_norm": 0.5673468708992004,
169
+ "learning_rate": 9.999151252124639e-05,
170
+ "loss": 1.6903,
171
+ "step": 22
172
+ },
173
+ {
174
+ "epoch": 0.06371191135734072,
175
+ "grad_norm": 0.5480718612670898,
176
+ "learning_rate": 9.99809038481674e-05,
177
+ "loss": 1.8207,
178
+ "step": 23
179
+ },
180
+ {
181
+ "epoch": 0.0664819944598338,
182
+ "grad_norm": 0.5410633087158203,
183
+ "learning_rate": 9.996605296647737e-05,
184
+ "loss": 1.7156,
185
+ "step": 24
186
+ },
187
+ {
188
+ "epoch": 0.06925207756232687,
189
+ "grad_norm": 0.5444090366363525,
190
+ "learning_rate": 9.99469611366685e-05,
191
+ "loss": 1.695,
192
+ "step": 25
193
+ },
194
+ {
195
+ "epoch": 0.07202216066481995,
196
+ "grad_norm": 0.5443681478500366,
197
+ "learning_rate": 9.992362997919016e-05,
198
+ "loss": 1.6809,
199
+ "step": 26
200
+ },
201
+ {
202
+ "epoch": 0.07479224376731301,
203
+ "grad_norm": 0.5565460920333862,
204
+ "learning_rate": 9.98960614743114e-05,
205
+ "loss": 1.7007,
206
+ "step": 27
207
+ },
208
+ {
209
+ "epoch": 0.07756232686980609,
210
+ "grad_norm": 0.5411592721939087,
211
+ "learning_rate": 9.986425796195287e-05,
212
+ "loss": 1.7413,
213
+ "step": 28
214
+ },
215
+ {
216
+ "epoch": 0.08033240997229917,
217
+ "grad_norm": 0.5616833567619324,
218
+ "learning_rate": 9.982822214148821e-05,
219
+ "loss": 1.6731,
220
+ "step": 29
221
+ },
222
+ {
223
+ "epoch": 0.08310249307479224,
224
+ "grad_norm": 0.5728862881660461,
225
+ "learning_rate": 9.978795707151492e-05,
226
+ "loss": 1.7152,
227
+ "step": 30
228
+ },
229
+ {
230
+ "epoch": 0.08587257617728532,
231
+ "grad_norm": 0.5711526274681091,
232
+ "learning_rate": 9.974346616959476e-05,
233
+ "loss": 1.6633,
234
+ "step": 31
235
+ },
236
+ {
237
+ "epoch": 0.0886426592797784,
238
+ "grad_norm": 0.5852300524711609,
239
+ "learning_rate": 9.969475321196373e-05,
240
+ "loss": 1.6699,
241
+ "step": 32
242
+ },
243
+ {
244
+ "epoch": 0.09141274238227147,
245
+ "grad_norm": 0.5722000598907471,
246
+ "learning_rate": 9.96418223332115e-05,
247
+ "loss": 1.6235,
248
+ "step": 33
249
+ },
250
+ {
251
+ "epoch": 0.09418282548476455,
252
+ "grad_norm": 0.6049830317497253,
253
+ "learning_rate": 9.958467802593046e-05,
254
+ "loss": 1.7123,
255
+ "step": 34
256
+ },
257
+ {
258
+ "epoch": 0.09695290858725762,
259
+ "grad_norm": 0.6205933690071106,
260
+ "learning_rate": 9.952332514033447e-05,
261
+ "loss": 1.6483,
262
+ "step": 35
263
+ },
264
+ {
265
+ "epoch": 0.0997229916897507,
266
+ "grad_norm": 0.5876198410987854,
267
+ "learning_rate": 9.94577688838472e-05,
268
+ "loss": 1.6032,
269
+ "step": 36
270
+ },
271
+ {
272
+ "epoch": 0.10249307479224377,
273
+ "grad_norm": 0.568473756313324,
274
+ "learning_rate": 9.938801482065998e-05,
275
+ "loss": 1.6591,
276
+ "step": 37
277
+ },
278
+ {
279
+ "epoch": 0.10526315789473684,
280
+ "grad_norm": 0.5977758765220642,
281
+ "learning_rate": 9.93140688712598e-05,
282
+ "loss": 1.5954,
283
+ "step": 38
284
+ },
285
+ {
286
+ "epoch": 0.10803324099722991,
287
+ "grad_norm": 0.6168347597122192,
288
+ "learning_rate": 9.923593731192655e-05,
289
+ "loss": 1.7199,
290
+ "step": 39
291
+ },
292
+ {
293
+ "epoch": 0.11080332409972299,
294
+ "grad_norm": 0.567383348941803,
295
+ "learning_rate": 9.915362677420044e-05,
296
+ "loss": 1.5559,
297
+ "step": 40
298
+ },
299
+ {
300
+ "epoch": 0.11357340720221606,
301
+ "grad_norm": 0.5804698467254639,
302
+ "learning_rate": 9.906714424431913e-05,
303
+ "loss": 1.595,
304
+ "step": 41
305
+ },
306
+ {
307
+ "epoch": 0.11634349030470914,
308
+ "grad_norm": 0.6087197661399841,
309
+ "learning_rate": 9.897649706262473e-05,
310
+ "loss": 1.6415,
311
+ "step": 42
312
+ },
313
+ {
314
+ "epoch": 0.11911357340720222,
315
+ "grad_norm": 0.6603733897209167,
316
+ "learning_rate": 9.888169292294076e-05,
317
+ "loss": 1.7308,
318
+ "step": 43
319
+ },
320
+ {
321
+ "epoch": 0.12188365650969529,
322
+ "grad_norm": 0.597120463848114,
323
+ "learning_rate": 9.87827398719192e-05,
324
+ "loss": 1.651,
325
+ "step": 44
326
+ },
327
+ {
328
+ "epoch": 0.12465373961218837,
329
+ "grad_norm": 0.563897967338562,
330
+ "learning_rate": 9.867964630835743e-05,
331
+ "loss": 1.5197,
332
+ "step": 45
333
+ },
334
+ {
335
+ "epoch": 0.12742382271468145,
336
+ "grad_norm": 0.5994200706481934,
337
+ "learning_rate": 9.857242098248542e-05,
338
+ "loss": 1.6037,
339
+ "step": 46
340
+ },
341
+ {
342
+ "epoch": 0.13019390581717452,
343
+ "grad_norm": 0.643892765045166,
344
+ "learning_rate": 9.846107299522304e-05,
345
+ "loss": 1.6028,
346
+ "step": 47
347
+ },
348
+ {
349
+ "epoch": 0.1329639889196676,
350
+ "grad_norm": 0.6362243294715881,
351
+ "learning_rate": 9.834561179740762e-05,
352
+ "loss": 1.7313,
353
+ "step": 48
354
+ },
355
+ {
356
+ "epoch": 0.13573407202216067,
357
+ "grad_norm": 0.8057113885879517,
358
+ "learning_rate": 9.82260471889917e-05,
359
+ "loss": 1.8693,
360
+ "step": 49
361
+ },
362
+ {
363
+ "epoch": 0.13850415512465375,
364
+ "grad_norm": 1.2995071411132812,
365
+ "learning_rate": 9.810238931821138e-05,
366
+ "loss": 2.3462,
367
+ "step": 50
368
+ },
369
+ {
370
+ "epoch": 0.14127423822714683,
371
+ "grad_norm": 0.9156427383422852,
372
+ "learning_rate": 9.797464868072488e-05,
373
+ "loss": 1.9039,
374
+ "step": 51
375
+ },
376
+ {
377
+ "epoch": 0.1440443213296399,
378
+ "grad_norm": 0.7253287434577942,
379
+ "learning_rate": 9.784283611872169e-05,
380
+ "loss": 1.7885,
381
+ "step": 52
382
+ },
383
+ {
384
+ "epoch": 0.14681440443213298,
385
+ "grad_norm": 0.5801952481269836,
386
+ "learning_rate": 9.770696282000244e-05,
387
+ "loss": 1.7586,
388
+ "step": 53
389
+ },
390
+ {
391
+ "epoch": 0.14958448753462603,
392
+ "grad_norm": 0.48791196942329407,
393
+ "learning_rate": 9.756704031702918e-05,
394
+ "loss": 1.7201,
395
+ "step": 54
396
+ },
397
+ {
398
+ "epoch": 0.1523545706371191,
399
+ "grad_norm": 0.47324320673942566,
400
+ "learning_rate": 9.742308048594665e-05,
401
+ "loss": 1.7283,
402
+ "step": 55
403
+ },
404
+ {
405
+ "epoch": 0.15512465373961218,
406
+ "grad_norm": 0.44494226574897766,
407
+ "learning_rate": 9.727509554557417e-05,
408
+ "loss": 1.7024,
409
+ "step": 56
410
+ },
411
+ {
412
+ "epoch": 0.15789473684210525,
413
+ "grad_norm": 0.45924824476242065,
414
+ "learning_rate": 9.712309805636863e-05,
415
+ "loss": 1.6947,
416
+ "step": 57
417
+ },
418
+ {
419
+ "epoch": 0.16066481994459833,
420
+ "grad_norm": 0.5117136240005493,
421
+ "learning_rate": 9.696710091935841e-05,
422
+ "loss": 1.7821,
423
+ "step": 58
424
+ },
425
+ {
426
+ "epoch": 0.1634349030470914,
427
+ "grad_norm": 0.4841713607311249,
428
+ "learning_rate": 9.68071173750483e-05,
429
+ "loss": 1.6528,
430
+ "step": 59
431
+ },
432
+ {
433
+ "epoch": 0.16620498614958448,
434
+ "grad_norm": 0.4830092787742615,
435
+ "learning_rate": 9.664316100229578e-05,
436
+ "loss": 1.7166,
437
+ "step": 60
438
+ },
439
+ {
440
+ "epoch": 0.16897506925207756,
441
+ "grad_norm": 0.4221424162387848,
442
+ "learning_rate": 9.647524571715843e-05,
443
+ "loss": 1.6441,
444
+ "step": 61
445
+ },
446
+ {
447
+ "epoch": 0.17174515235457063,
448
+ "grad_norm": 0.4262312650680542,
449
+ "learning_rate": 9.630338577171282e-05,
450
+ "loss": 1.6742,
451
+ "step": 62
452
+ },
453
+ {
454
+ "epoch": 0.1745152354570637,
455
+ "grad_norm": 0.4470296800136566,
456
+ "learning_rate": 9.612759575284483e-05,
457
+ "loss": 1.6873,
458
+ "step": 63
459
+ },
460
+ {
461
+ "epoch": 0.1772853185595568,
462
+ "grad_norm": 0.43828487396240234,
463
+ "learning_rate": 9.594789058101153e-05,
464
+ "loss": 1.6717,
465
+ "step": 64
466
+ },
467
+ {
468
+ "epoch": 0.18005540166204986,
469
+ "grad_norm": 0.44721511006355286,
470
+ "learning_rate": 9.576428550897489e-05,
471
+ "loss": 1.6437,
472
+ "step": 65
473
+ },
474
+ {
475
+ "epoch": 0.18282548476454294,
476
+ "grad_norm": 0.4734845459461212,
477
+ "learning_rate": 9.557679612050708e-05,
478
+ "loss": 1.617,
479
+ "step": 66
480
+ },
481
+ {
482
+ "epoch": 0.18559556786703602,
483
+ "grad_norm": 0.4750541150569916,
484
+ "learning_rate": 9.538543832906773e-05,
485
+ "loss": 1.6971,
486
+ "step": 67
487
+ },
488
+ {
489
+ "epoch": 0.1883656509695291,
490
+ "grad_norm": 0.45159047842025757,
491
+ "learning_rate": 9.519022837645337e-05,
492
+ "loss": 1.6612,
493
+ "step": 68
494
+ },
495
+ {
496
+ "epoch": 0.19113573407202217,
497
+ "grad_norm": 0.45829257369041443,
498
+ "learning_rate": 9.499118283141887e-05,
499
+ "loss": 1.5972,
500
+ "step": 69
501
+ },
502
+ {
503
+ "epoch": 0.19390581717451524,
504
+ "grad_norm": 0.49154049158096313,
505
+ "learning_rate": 9.478831858827104e-05,
506
+ "loss": 1.6616,
507
+ "step": 70
508
+ },
509
+ {
510
+ "epoch": 0.19667590027700832,
511
+ "grad_norm": 0.47941017150878906,
512
+ "learning_rate": 9.458165286543476e-05,
513
+ "loss": 1.6312,
514
+ "step": 71
515
+ },
516
+ {
517
+ "epoch": 0.1994459833795014,
518
+ "grad_norm": 0.47044363617897034,
519
+ "learning_rate": 9.437120320399158e-05,
520
+ "loss": 1.6031,
521
+ "step": 72
522
+ },
523
+ {
524
+ "epoch": 0.20221606648199447,
525
+ "grad_norm": 0.4906218349933624,
526
+ "learning_rate": 9.415698746619079e-05,
527
+ "loss": 1.6558,
528
+ "step": 73
529
+ },
530
+ {
531
+ "epoch": 0.20498614958448755,
532
+ "grad_norm": 0.46305832266807556,
533
+ "learning_rate": 9.393902383393347e-05,
534
+ "loss": 1.626,
535
+ "step": 74
536
+ },
537
+ {
538
+ "epoch": 0.2077562326869806,
539
+ "grad_norm": 0.4860275983810425,
540
+ "learning_rate": 9.371733080722911e-05,
541
+ "loss": 1.6518,
542
+ "step": 75
543
+ },
544
+ {
545
+ "epoch": 0.21052631578947367,
546
+ "grad_norm": 0.49080756306648254,
547
+ "learning_rate": 9.349192720262555e-05,
548
+ "loss": 1.5951,
549
+ "step": 76
550
+ },
551
+ {
552
+ "epoch": 0.21329639889196675,
553
+ "grad_norm": 0.512401282787323,
554
+ "learning_rate": 9.326283215161178e-05,
555
+ "loss": 1.5436,
556
+ "step": 77
557
+ },
558
+ {
559
+ "epoch": 0.21606648199445982,
560
+ "grad_norm": 0.48431679606437683,
561
+ "learning_rate": 9.303006509899418e-05,
562
+ "loss": 1.693,
563
+ "step": 78
564
+ },
565
+ {
566
+ "epoch": 0.2188365650969529,
567
+ "grad_norm": 0.5012890696525574,
568
+ "learning_rate": 9.279364580124614e-05,
569
+ "loss": 1.6496,
570
+ "step": 79
571
+ },
572
+ {
573
+ "epoch": 0.22160664819944598,
574
+ "grad_norm": 0.5362542867660522,
575
+ "learning_rate": 9.255359432483105e-05,
576
+ "loss": 1.5378,
577
+ "step": 80
578
+ },
579
+ {
580
+ "epoch": 0.22437673130193905,
581
+ "grad_norm": 0.5153225660324097,
582
+ "learning_rate": 9.230993104449939e-05,
583
+ "loss": 1.5482,
584
+ "step": 81
585
+ },
586
+ {
587
+ "epoch": 0.22714681440443213,
588
+ "grad_norm": 0.5314464569091797,
589
+ "learning_rate": 9.206267664155907e-05,
590
+ "loss": 1.6165,
591
+ "step": 82
592
+ },
593
+ {
594
+ "epoch": 0.2299168975069252,
595
+ "grad_norm": 0.5320023894309998,
596
+ "learning_rate": 9.181185210212034e-05,
597
+ "loss": 1.5757,
598
+ "step": 83
599
+ },
600
+ {
601
+ "epoch": 0.23268698060941828,
602
+ "grad_norm": 0.542969286441803,
603
+ "learning_rate": 9.155747871531444e-05,
604
+ "loss": 1.5714,
605
+ "step": 84
606
+ },
607
+ {
608
+ "epoch": 0.23545706371191136,
609
+ "grad_norm": 0.5345393419265747,
610
+ "learning_rate": 9.129957807148666e-05,
611
+ "loss": 1.5333,
612
+ "step": 85
613
+ },
614
+ {
615
+ "epoch": 0.23822714681440443,
616
+ "grad_norm": 0.5255215167999268,
617
+ "learning_rate": 9.103817206036382e-05,
618
+ "loss": 1.5549,
619
+ "step": 86
620
+ },
621
+ {
622
+ "epoch": 0.2409972299168975,
623
+ "grad_norm": 0.5266215801239014,
624
+ "learning_rate": 9.077328286919638e-05,
625
+ "loss": 1.5857,
626
+ "step": 87
627
+ },
628
+ {
629
+ "epoch": 0.24376731301939059,
630
+ "grad_norm": 0.5361652374267578,
631
+ "learning_rate": 9.050493298087523e-05,
632
+ "loss": 1.5605,
633
+ "step": 88
634
+ },
635
+ {
636
+ "epoch": 0.24653739612188366,
637
+ "grad_norm": 0.5425163507461548,
638
+ "learning_rate": 9.02331451720234e-05,
639
+ "loss": 1.6093,
640
+ "step": 89
641
+ },
642
+ {
643
+ "epoch": 0.24930747922437674,
644
+ "grad_norm": 0.5160465240478516,
645
+ "learning_rate": 8.995794251106295e-05,
646
+ "loss": 1.5442,
647
+ "step": 90
648
+ },
649
+ {
650
+ "epoch": 0.2520775623268698,
651
+ "grad_norm": 0.5372593998908997,
652
+ "learning_rate": 8.967934835625689e-05,
653
+ "loss": 1.5728,
654
+ "step": 91
655
+ },
656
+ {
657
+ "epoch": 0.2548476454293629,
658
+ "grad_norm": 0.5655612349510193,
659
+ "learning_rate": 8.939738635372664e-05,
660
+ "loss": 1.5368,
661
+ "step": 92
662
+ },
663
+ {
664
+ "epoch": 0.25761772853185594,
665
+ "grad_norm": 0.5733644366264343,
666
+ "learning_rate": 8.911208043544513e-05,
667
+ "loss": 1.5212,
668
+ "step": 93
669
+ },
670
+ {
671
+ "epoch": 0.26038781163434904,
672
+ "grad_norm": 0.5658868551254272,
673
+ "learning_rate": 8.882345481720533e-05,
674
+ "loss": 1.5177,
675
+ "step": 94
676
+ },
677
+ {
678
+ "epoch": 0.2631578947368421,
679
+ "grad_norm": 0.5318059325218201,
680
+ "learning_rate": 8.853153399656513e-05,
681
+ "loss": 1.5302,
682
+ "step": 95
683
+ },
684
+ {
685
+ "epoch": 0.2659279778393352,
686
+ "grad_norm": 0.5699280500411987,
687
+ "learning_rate": 8.823634275076791e-05,
688
+ "loss": 1.544,
689
+ "step": 96
690
+ },
691
+ {
692
+ "epoch": 0.26869806094182824,
693
+ "grad_norm": 0.6027292013168335,
694
+ "learning_rate": 8.793790613463955e-05,
695
+ "loss": 1.5461,
696
+ "step": 97
697
+ },
698
+ {
699
+ "epoch": 0.27146814404432135,
700
+ "grad_norm": 0.6108666062355042,
701
+ "learning_rate": 8.763624947846195e-05,
702
+ "loss": 1.5956,
703
+ "step": 98
704
+ },
705
+ {
706
+ "epoch": 0.2742382271468144,
707
+ "grad_norm": 0.7130281329154968,
708
+ "learning_rate": 8.7331398385823e-05,
709
+ "loss": 1.6505,
710
+ "step": 99
711
+ },
712
+ {
713
+ "epoch": 0.2770083102493075,
714
+ "grad_norm": 1.1027400493621826,
715
+ "learning_rate": 8.702337873144343e-05,
716
+ "loss": 2.2798,
717
+ "step": 100
718
+ },
719
+ {
720
+ "epoch": 0.2770083102493075,
721
+ "eval_loss": 1.6783268451690674,
722
+ "eval_runtime": 96.3073,
723
+ "eval_samples_per_second": 6.313,
724
+ "eval_steps_per_second": 1.578,
725
+ "step": 100
726
+ }
727
+ ],
728
+ "logging_steps": 1,
729
+ "max_steps": 361,
730
+ "num_input_tokens_seen": 0,
731
+ "num_train_epochs": 1,
732
+ "save_steps": 100,
733
+ "stateful_callbacks": {
734
+ "EarlyStoppingCallback": {
735
+ "args": {
736
+ "early_stopping_patience": 5,
737
+ "early_stopping_threshold": 0.0
738
+ },
739
+ "attributes": {
740
+ "early_stopping_patience_counter": 0
741
+ }
742
+ },
743
+ "TrainerControl": {
744
+ "args": {
745
+ "should_epoch_stop": false,
746
+ "should_evaluate": false,
747
+ "should_log": false,
748
+ "should_save": true,
749
+ "should_training_stop": false
750
+ },
751
+ "attributes": {}
752
+ }
753
+ },
754
+ "total_flos": 1.427158308225024e+17,
755
+ "train_batch_size": 8,
756
+ "trial_name": null,
757
+ "trial_params": null
758
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fbf9e0e4bfd591ce2db9bdf4671f4a4167dd71c32cd78199e316920d020db407
3
+ size 6840
last-checkpoint/vocab.json ADDED
The diff for this file is too large to render. See raw diff