jssky commited on
Commit
35837f9
·
verified ·
1 Parent(s): d4538b0

Training in progress, step 50, checkpoint

Browse files
last-checkpoint/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/Qwen2-1.5B-Instruct
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 0.14.0
last-checkpoint/adapter_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "unsloth/Qwen2-1.5B-Instruct",
5
+ "bias": "none",
6
+ "eva_config": null,
7
+ "exclude_modules": null,
8
+ "fan_in_fan_out": null,
9
+ "inference_mode": true,
10
+ "init_lora_weights": true,
11
+ "layer_replication": null,
12
+ "layers_pattern": null,
13
+ "layers_to_transform": null,
14
+ "loftq_config": {},
15
+ "lora_alpha": 128,
16
+ "lora_bias": false,
17
+ "lora_dropout": 0.05,
18
+ "megatron_config": null,
19
+ "megatron_core": "megatron.core",
20
+ "modules_to_save": null,
21
+ "peft_type": "LORA",
22
+ "r": 64,
23
+ "rank_pattern": {},
24
+ "revision": null,
25
+ "target_modules": [
26
+ "q_proj",
27
+ "o_proj",
28
+ "gate_proj",
29
+ "up_proj",
30
+ "down_proj",
31
+ "k_proj",
32
+ "v_proj"
33
+ ],
34
+ "task_type": "CAUSAL_LM",
35
+ "use_dora": false,
36
+ "use_rslora": false
37
+ }
last-checkpoint/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b56937a0a473d117915c261e047125f3a04f3186ff997624d3a7ff5fdc81f07
3
+ size 1227202192
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 sha256:1d40a6bf465a08bf65ba4f6c9b3903e00cabac254866f943a3cc817ba01dc6fb
3
+ size 150486964
last-checkpoint/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b05de24fd599a59efb3a637915fb28b41804389b5fbbe7f81fd6fbd86fe006a
3
+ size 14244
last-checkpoint/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1d359eb5d29e75fb2bbe5b7026981da69b95b8ad1fea469302d13cde104f7e8a
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": "<|im_end|>",
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 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": "<|im_end|>",
37
+ "errors": "replace",
38
+ "extra_special_tokens": {},
39
+ "model_max_length": 32768,
40
+ "pad_token": "<|endoftext|>",
41
+ "padding_side": "left",
42
+ "split_special_tokens": false,
43
+ "tokenizer_class": "Qwen2Tokenizer",
44
+ "unk_token": null
45
+ }
last-checkpoint/trainer_state.json ADDED
@@ -0,0 +1,408 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.2866495847702026,
3
+ "best_model_checkpoint": "miner_id_24/checkpoint-50",
4
+ "epoch": 0.1350438892640108,
5
+ "eval_steps": 50,
6
+ "global_step": 50,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0027008777852802163,
13
+ "grad_norm": 0.3624476194381714,
14
+ "learning_rate": 1e-05,
15
+ "loss": 1.4218,
16
+ "step": 1
17
+ },
18
+ {
19
+ "epoch": 0.0027008777852802163,
20
+ "eval_loss": 1.4606833457946777,
21
+ "eval_runtime": 15.6141,
22
+ "eval_samples_per_second": 39.964,
23
+ "eval_steps_per_second": 9.991,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.0054017555705604325,
28
+ "grad_norm": 0.3938450813293457,
29
+ "learning_rate": 2e-05,
30
+ "loss": 1.3709,
31
+ "step": 2
32
+ },
33
+ {
34
+ "epoch": 0.008102633355840648,
35
+ "grad_norm": 0.39943069219589233,
36
+ "learning_rate": 3e-05,
37
+ "loss": 1.4067,
38
+ "step": 3
39
+ },
40
+ {
41
+ "epoch": 0.010803511141120865,
42
+ "grad_norm": 0.40101104974746704,
43
+ "learning_rate": 4e-05,
44
+ "loss": 1.4221,
45
+ "step": 4
46
+ },
47
+ {
48
+ "epoch": 0.01350438892640108,
49
+ "grad_norm": 0.36832377314567566,
50
+ "learning_rate": 5e-05,
51
+ "loss": 1.4441,
52
+ "step": 5
53
+ },
54
+ {
55
+ "epoch": 0.016205266711681297,
56
+ "grad_norm": 0.41918250918388367,
57
+ "learning_rate": 6e-05,
58
+ "loss": 1.4905,
59
+ "step": 6
60
+ },
61
+ {
62
+ "epoch": 0.018906144496961513,
63
+ "grad_norm": 0.4318130612373352,
64
+ "learning_rate": 7e-05,
65
+ "loss": 1.3951,
66
+ "step": 7
67
+ },
68
+ {
69
+ "epoch": 0.02160702228224173,
70
+ "grad_norm": 0.524061381816864,
71
+ "learning_rate": 8e-05,
72
+ "loss": 1.3791,
73
+ "step": 8
74
+ },
75
+ {
76
+ "epoch": 0.024307900067521943,
77
+ "grad_norm": 0.5278139710426331,
78
+ "learning_rate": 9e-05,
79
+ "loss": 1.3826,
80
+ "step": 9
81
+ },
82
+ {
83
+ "epoch": 0.02700877785280216,
84
+ "grad_norm": 0.5666940808296204,
85
+ "learning_rate": 0.0001,
86
+ "loss": 1.3379,
87
+ "step": 10
88
+ },
89
+ {
90
+ "epoch": 0.029709655638082377,
91
+ "grad_norm": 0.5191312432289124,
92
+ "learning_rate": 9.999316524962345e-05,
93
+ "loss": 1.1892,
94
+ "step": 11
95
+ },
96
+ {
97
+ "epoch": 0.03241053342336259,
98
+ "grad_norm": 0.430105596780777,
99
+ "learning_rate": 9.997266286704631e-05,
100
+ "loss": 1.1462,
101
+ "step": 12
102
+ },
103
+ {
104
+ "epoch": 0.035111411208642807,
105
+ "grad_norm": 0.4412747621536255,
106
+ "learning_rate": 9.993849845741524e-05,
107
+ "loss": 1.2241,
108
+ "step": 13
109
+ },
110
+ {
111
+ "epoch": 0.03781228899392303,
112
+ "grad_norm": 0.4131179451942444,
113
+ "learning_rate": 9.989068136093873e-05,
114
+ "loss": 1.2011,
115
+ "step": 14
116
+ },
117
+ {
118
+ "epoch": 0.04051316677920324,
119
+ "grad_norm": 0.4340050518512726,
120
+ "learning_rate": 9.98292246503335e-05,
121
+ "loss": 1.1766,
122
+ "step": 15
123
+ },
124
+ {
125
+ "epoch": 0.04321404456448346,
126
+ "grad_norm": 0.42998600006103516,
127
+ "learning_rate": 9.975414512725057e-05,
128
+ "loss": 1.2414,
129
+ "step": 16
130
+ },
131
+ {
132
+ "epoch": 0.04591492234976367,
133
+ "grad_norm": 0.42034226655960083,
134
+ "learning_rate": 9.966546331768191e-05,
135
+ "loss": 1.0788,
136
+ "step": 17
137
+ },
138
+ {
139
+ "epoch": 0.048615800135043886,
140
+ "grad_norm": 0.5337233543395996,
141
+ "learning_rate": 9.956320346634876e-05,
142
+ "loss": 1.1981,
143
+ "step": 18
144
+ },
145
+ {
146
+ "epoch": 0.05131667792032411,
147
+ "grad_norm": 0.4583562910556793,
148
+ "learning_rate": 9.944739353007344e-05,
149
+ "loss": 1.2196,
150
+ "step": 19
151
+ },
152
+ {
153
+ "epoch": 0.05401755570560432,
154
+ "grad_norm": 0.49332761764526367,
155
+ "learning_rate": 9.931806517013612e-05,
156
+ "loss": 1.1968,
157
+ "step": 20
158
+ },
159
+ {
160
+ "epoch": 0.05671843349088454,
161
+ "grad_norm": 0.48594799637794495,
162
+ "learning_rate": 9.917525374361912e-05,
163
+ "loss": 1.1309,
164
+ "step": 21
165
+ },
166
+ {
167
+ "epoch": 0.05941931127616475,
168
+ "grad_norm": 0.5126538276672363,
169
+ "learning_rate": 9.901899829374047e-05,
170
+ "loss": 1.1186,
171
+ "step": 22
172
+ },
173
+ {
174
+ "epoch": 0.062120189061444966,
175
+ "grad_norm": 0.47921475768089294,
176
+ "learning_rate": 9.884934153917997e-05,
177
+ "loss": 1.0795,
178
+ "step": 23
179
+ },
180
+ {
181
+ "epoch": 0.06482106684672519,
182
+ "grad_norm": 0.4876593053340912,
183
+ "learning_rate": 9.86663298624003e-05,
184
+ "loss": 1.0949,
185
+ "step": 24
186
+ },
187
+ {
188
+ "epoch": 0.0675219446320054,
189
+ "grad_norm": 0.536691427230835,
190
+ "learning_rate": 9.847001329696653e-05,
191
+ "loss": 1.0373,
192
+ "step": 25
193
+ },
194
+ {
195
+ "epoch": 0.07022282241728561,
196
+ "grad_norm": 0.6566392779350281,
197
+ "learning_rate": 9.826044551386744e-05,
198
+ "loss": 1.2434,
199
+ "step": 26
200
+ },
201
+ {
202
+ "epoch": 0.07292370020256583,
203
+ "grad_norm": 0.5158787369728088,
204
+ "learning_rate": 9.803768380684242e-05,
205
+ "loss": 1.1554,
206
+ "step": 27
207
+ },
208
+ {
209
+ "epoch": 0.07562457798784605,
210
+ "grad_norm": 0.5759814977645874,
211
+ "learning_rate": 9.780178907671789e-05,
212
+ "loss": 1.3289,
213
+ "step": 28
214
+ },
215
+ {
216
+ "epoch": 0.07832545577312626,
217
+ "grad_norm": 0.5752044320106506,
218
+ "learning_rate": 9.755282581475769e-05,
219
+ "loss": 1.1889,
220
+ "step": 29
221
+ },
222
+ {
223
+ "epoch": 0.08102633355840648,
224
+ "grad_norm": 0.6152178645133972,
225
+ "learning_rate": 9.729086208503174e-05,
226
+ "loss": 1.1266,
227
+ "step": 30
228
+ },
229
+ {
230
+ "epoch": 0.0837272113436867,
231
+ "grad_norm": 0.6457420587539673,
232
+ "learning_rate": 9.701596950580806e-05,
233
+ "loss": 1.1839,
234
+ "step": 31
235
+ },
236
+ {
237
+ "epoch": 0.08642808912896692,
238
+ "grad_norm": 0.6329084038734436,
239
+ "learning_rate": 9.672822322997305e-05,
240
+ "loss": 1.234,
241
+ "step": 32
242
+ },
243
+ {
244
+ "epoch": 0.08912896691424713,
245
+ "grad_norm": 0.6863877773284912,
246
+ "learning_rate": 9.642770192448536e-05,
247
+ "loss": 1.2342,
248
+ "step": 33
249
+ },
250
+ {
251
+ "epoch": 0.09182984469952735,
252
+ "grad_norm": 0.6431719660758972,
253
+ "learning_rate": 9.611448774886924e-05,
254
+ "loss": 1.177,
255
+ "step": 34
256
+ },
257
+ {
258
+ "epoch": 0.09453072248480757,
259
+ "grad_norm": 0.6808779835700989,
260
+ "learning_rate": 9.578866633275288e-05,
261
+ "loss": 1.3163,
262
+ "step": 35
263
+ },
264
+ {
265
+ "epoch": 0.09723160027008777,
266
+ "grad_norm": 0.7064206600189209,
267
+ "learning_rate": 9.545032675245813e-05,
268
+ "loss": 1.3071,
269
+ "step": 36
270
+ },
271
+ {
272
+ "epoch": 0.099932478055368,
273
+ "grad_norm": 0.7828763723373413,
274
+ "learning_rate": 9.509956150664796e-05,
275
+ "loss": 1.3091,
276
+ "step": 37
277
+ },
278
+ {
279
+ "epoch": 0.10263335584064821,
280
+ "grad_norm": 0.8526866436004639,
281
+ "learning_rate": 9.473646649103818e-05,
282
+ "loss": 1.2666,
283
+ "step": 38
284
+ },
285
+ {
286
+ "epoch": 0.10533423362592843,
287
+ "grad_norm": 0.7964354157447815,
288
+ "learning_rate": 9.43611409721806e-05,
289
+ "loss": 1.4333,
290
+ "step": 39
291
+ },
292
+ {
293
+ "epoch": 0.10803511141120864,
294
+ "grad_norm": 0.8185365796089172,
295
+ "learning_rate": 9.397368756032445e-05,
296
+ "loss": 1.3689,
297
+ "step": 40
298
+ },
299
+ {
300
+ "epoch": 0.11073598919648886,
301
+ "grad_norm": 0.8150967955589294,
302
+ "learning_rate": 9.357421218136386e-05,
303
+ "loss": 1.3536,
304
+ "step": 41
305
+ },
306
+ {
307
+ "epoch": 0.11343686698176908,
308
+ "grad_norm": 0.8503111004829407,
309
+ "learning_rate": 9.316282404787871e-05,
310
+ "loss": 1.3862,
311
+ "step": 42
312
+ },
313
+ {
314
+ "epoch": 0.11613774476704929,
315
+ "grad_norm": 0.8694619536399841,
316
+ "learning_rate": 9.273963562927695e-05,
317
+ "loss": 1.3512,
318
+ "step": 43
319
+ },
320
+ {
321
+ "epoch": 0.1188386225523295,
322
+ "grad_norm": 1.0029643774032593,
323
+ "learning_rate": 9.230476262104677e-05,
324
+ "loss": 1.2742,
325
+ "step": 44
326
+ },
327
+ {
328
+ "epoch": 0.12153950033760973,
329
+ "grad_norm": 1.017909049987793,
330
+ "learning_rate": 9.185832391312644e-05,
331
+ "loss": 1.4303,
332
+ "step": 45
333
+ },
334
+ {
335
+ "epoch": 0.12424037812288993,
336
+ "grad_norm": 1.519902229309082,
337
+ "learning_rate": 9.140044155740101e-05,
338
+ "loss": 1.4151,
339
+ "step": 46
340
+ },
341
+ {
342
+ "epoch": 0.12694125590817015,
343
+ "grad_norm": 1.4137510061264038,
344
+ "learning_rate": 9.093124073433463e-05,
345
+ "loss": 1.4488,
346
+ "step": 47
347
+ },
348
+ {
349
+ "epoch": 0.12964213369345037,
350
+ "grad_norm": 1.4305354356765747,
351
+ "learning_rate": 9.045084971874738e-05,
352
+ "loss": 1.3568,
353
+ "step": 48
354
+ },
355
+ {
356
+ "epoch": 0.1323430114787306,
357
+ "grad_norm": 1.5225553512573242,
358
+ "learning_rate": 8.995939984474624e-05,
359
+ "loss": 1.2391,
360
+ "step": 49
361
+ },
362
+ {
363
+ "epoch": 0.1350438892640108,
364
+ "grad_norm": 2.4049932956695557,
365
+ "learning_rate": 8.945702546981969e-05,
366
+ "loss": 1.4481,
367
+ "step": 50
368
+ },
369
+ {
370
+ "epoch": 0.1350438892640108,
371
+ "eval_loss": 1.2866495847702026,
372
+ "eval_runtime": 15.5441,
373
+ "eval_samples_per_second": 40.144,
374
+ "eval_steps_per_second": 10.036,
375
+ "step": 50
376
+ }
377
+ ],
378
+ "logging_steps": 1,
379
+ "max_steps": 200,
380
+ "num_input_tokens_seen": 0,
381
+ "num_train_epochs": 1,
382
+ "save_steps": 50,
383
+ "stateful_callbacks": {
384
+ "EarlyStoppingCallback": {
385
+ "args": {
386
+ "early_stopping_patience": 5,
387
+ "early_stopping_threshold": 0.0
388
+ },
389
+ "attributes": {
390
+ "early_stopping_patience_counter": 0
391
+ }
392
+ },
393
+ "TrainerControl": {
394
+ "args": {
395
+ "should_epoch_stop": false,
396
+ "should_evaluate": false,
397
+ "should_log": false,
398
+ "should_save": true,
399
+ "should_training_stop": false
400
+ },
401
+ "attributes": {}
402
+ }
403
+ },
404
+ "total_flos": 1.435563454365696e+16,
405
+ "train_batch_size": 8,
406
+ "trial_name": null,
407
+ "trial_params": null
408
+ }
last-checkpoint/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a992013450dead258ce383c59d5adab23f46d67ce0ce0502bf44375f0ffbf46
3
+ size 6968
last-checkpoint/vocab.json ADDED
The diff for this file is too large to render. See raw diff