Nath724 commited on
Commit
8ca1cfb
1 Parent(s): 450b41c

Training in progress, step 2200, checkpoint

Browse files
checkpoint-2200/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: unsloth/gemma-7b-bnb-4bit
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 0.10.0
checkpoint-2200/adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "unsloth/gemma-7b-bnb-4bit",
5
+ "bias": "none",
6
+ "fan_in_fan_out": false,
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": 8,
14
+ "lora_dropout": 0.0,
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": "unsloth",
22
+ "target_modules": [
23
+ "down_proj",
24
+ "o_proj",
25
+ "up_proj",
26
+ "q_proj",
27
+ "v_proj",
28
+ "k_proj",
29
+ "gate_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
checkpoint-2200/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3bbf856104181f9725143aa31a49a533a4f4cf5ed538da0e4cdb0ccf62aea6d8
3
+ size 100059752
checkpoint-2200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:838bea0bbb4d23246a7f5eb1ef6ad8b8bcc9b50d7416308f2e7d63e195518481
3
+ size 50541492
checkpoint-2200/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:686877537a25809890c7dcabc7ee919c6e46d71e43342a4d8f0aeedcdc7a7982
3
+ size 14512
checkpoint-2200/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8296edcb09362e52fc93c3ba63ecb045aefefcf7f60951f3e5deb9999cb7145f
3
+ size 14512
checkpoint-2200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:894b8cf6a0fd576c09ccc807f35583b9415c18ecf988cebabe9fbf57209b527d
3
+ size 1192
checkpoint-2200/special_tokens_map.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<start_of_turn>",
4
+ "<end_of_turn>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<bos>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": {
21
+ "content": "<pad>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false
26
+ },
27
+ "unk_token": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
checkpoint-2200/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
3
+ size 4241003
checkpoint-2200/tokenizer_config.json ADDED
@@ -0,0 +1,72 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<pad>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<bos>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "3": {
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "106": {
38
+ "content": "<start_of_turn>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "107": {
46
+ "content": "<end_of_turn>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ }
53
+ },
54
+ "additional_special_tokens": [
55
+ "<start_of_turn>",
56
+ "<end_of_turn>"
57
+ ],
58
+ "bos_token": "<bos>",
59
+ "chat_template": "{% set system_message = 'Below is an instruction that describes a task. Write a response that appropriately completes the request.' %}{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '### Instruction:\\n' + content + '\\n\\n### Response:\\n' }}{% elif message['role'] == 'assistant' %}{{ content + '<eos>' + '\\n\\n' }}{% endif %}{% endfor %}",
60
+ "clean_up_tokenization_spaces": false,
61
+ "eos_token": "<eos>",
62
+ "legacy": null,
63
+ "model_max_length": 1000000000000000019884624838656,
64
+ "pad_token": "<pad>",
65
+ "padding_side": "right",
66
+ "sp_model_kwargs": {},
67
+ "spaces_between_special_tokens": false,
68
+ "split_special_tokens": false,
69
+ "tokenizer_class": "GemmaTokenizer",
70
+ "unk_token": "<unk>",
71
+ "use_default_system_prompt": false
72
+ }
checkpoint-2200/trainer_state.json ADDED
@@ -0,0 +1,505 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.8768367767333984,
3
+ "best_model_checkpoint": "/kaggle/working/gemma/checkpoint-1600",
4
+ "epoch": 0.8654602675059009,
5
+ "eval_steps": 100,
6
+ "global_step": 2200,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02,
13
+ "grad_norm": 2.6322383880615234,
14
+ "learning_rate": 0.0003,
15
+ "loss": 4.1999,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.04,
20
+ "grad_norm": 1.3033926486968994,
21
+ "learning_rate": 0.0003,
22
+ "loss": 2.1859,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 0.04,
27
+ "eval_loss": 2.0820870399475098,
28
+ "eval_runtime": 110.3393,
29
+ "eval_samples_per_second": 0.933,
30
+ "eval_steps_per_second": 0.236,
31
+ "step": 100
32
+ },
33
+ {
34
+ "epoch": 0.06,
35
+ "grad_norm": 1.6072160005569458,
36
+ "learning_rate": 0.0003,
37
+ "loss": 2.1419,
38
+ "step": 150
39
+ },
40
+ {
41
+ "epoch": 0.08,
42
+ "grad_norm": 1.4586890935897827,
43
+ "learning_rate": 0.0003,
44
+ "loss": 2.1001,
45
+ "step": 200
46
+ },
47
+ {
48
+ "epoch": 0.08,
49
+ "eval_loss": 1.99821937084198,
50
+ "eval_runtime": 110.16,
51
+ "eval_samples_per_second": 0.935,
52
+ "eval_steps_per_second": 0.236,
53
+ "step": 200
54
+ },
55
+ {
56
+ "epoch": 0.1,
57
+ "grad_norm": 1.309139370918274,
58
+ "learning_rate": 0.0003,
59
+ "loss": 2.0746,
60
+ "step": 250
61
+ },
62
+ {
63
+ "epoch": 0.12,
64
+ "grad_norm": 1.487611174583435,
65
+ "learning_rate": 0.0003,
66
+ "loss": 2.0647,
67
+ "step": 300
68
+ },
69
+ {
70
+ "epoch": 0.12,
71
+ "eval_loss": 1.9572771787643433,
72
+ "eval_runtime": 109.5937,
73
+ "eval_samples_per_second": 0.94,
74
+ "eval_steps_per_second": 0.237,
75
+ "step": 300
76
+ },
77
+ {
78
+ "epoch": 0.14,
79
+ "grad_norm": 1.494892954826355,
80
+ "learning_rate": 0.0003,
81
+ "loss": 2.0195,
82
+ "step": 350
83
+ },
84
+ {
85
+ "epoch": 0.16,
86
+ "grad_norm": 1.4196828603744507,
87
+ "learning_rate": 0.0003,
88
+ "loss": 2.0195,
89
+ "step": 400
90
+ },
91
+ {
92
+ "epoch": 0.16,
93
+ "eval_loss": 1.9236102104187012,
94
+ "eval_runtime": 109.859,
95
+ "eval_samples_per_second": 0.938,
96
+ "eval_steps_per_second": 0.237,
97
+ "step": 400
98
+ },
99
+ {
100
+ "epoch": 0.18,
101
+ "grad_norm": 1.7659281492233276,
102
+ "learning_rate": 0.0003,
103
+ "loss": 1.9753,
104
+ "step": 450
105
+ },
106
+ {
107
+ "epoch": 0.2,
108
+ "grad_norm": 1.059668779373169,
109
+ "learning_rate": 0.0003,
110
+ "loss": 1.9975,
111
+ "step": 500
112
+ },
113
+ {
114
+ "epoch": 0.2,
115
+ "eval_loss": 1.9109984636306763,
116
+ "eval_runtime": 109.5777,
117
+ "eval_samples_per_second": 0.94,
118
+ "eval_steps_per_second": 0.237,
119
+ "step": 500
120
+ },
121
+ {
122
+ "epoch": 0.22,
123
+ "grad_norm": 1.3529094457626343,
124
+ "learning_rate": 0.0003,
125
+ "loss": 1.9846,
126
+ "step": 550
127
+ },
128
+ {
129
+ "epoch": 0.24,
130
+ "grad_norm": 1.4471253156661987,
131
+ "learning_rate": 0.0003,
132
+ "loss": 1.9809,
133
+ "step": 600
134
+ },
135
+ {
136
+ "epoch": 0.24,
137
+ "eval_loss": 1.9085875749588013,
138
+ "eval_runtime": 109.6643,
139
+ "eval_samples_per_second": 0.939,
140
+ "eval_steps_per_second": 0.237,
141
+ "step": 600
142
+ },
143
+ {
144
+ "epoch": 0.26,
145
+ "grad_norm": 1.965285301208496,
146
+ "learning_rate": 0.0003,
147
+ "loss": 2.0156,
148
+ "step": 650
149
+ },
150
+ {
151
+ "epoch": 0.28,
152
+ "grad_norm": 1.1004948616027832,
153
+ "learning_rate": 0.0003,
154
+ "loss": 2.0118,
155
+ "step": 700
156
+ },
157
+ {
158
+ "epoch": 0.28,
159
+ "eval_loss": 1.9014776945114136,
160
+ "eval_runtime": 109.9343,
161
+ "eval_samples_per_second": 0.937,
162
+ "eval_steps_per_second": 0.237,
163
+ "step": 700
164
+ },
165
+ {
166
+ "epoch": 0.3,
167
+ "grad_norm": 1.5002790689468384,
168
+ "learning_rate": 0.0003,
169
+ "loss": 1.9538,
170
+ "step": 750
171
+ },
172
+ {
173
+ "epoch": 0.31,
174
+ "grad_norm": 1.2678498029708862,
175
+ "learning_rate": 0.0003,
176
+ "loss": 1.9402,
177
+ "step": 800
178
+ },
179
+ {
180
+ "epoch": 0.31,
181
+ "eval_loss": 1.8954542875289917,
182
+ "eval_runtime": 110.006,
183
+ "eval_samples_per_second": 0.936,
184
+ "eval_steps_per_second": 0.236,
185
+ "step": 800
186
+ },
187
+ {
188
+ "epoch": 0.33,
189
+ "grad_norm": 1.2786470651626587,
190
+ "learning_rate": 0.0003,
191
+ "loss": 1.9687,
192
+ "step": 850
193
+ },
194
+ {
195
+ "epoch": 0.35,
196
+ "grad_norm": 1.6264179944992065,
197
+ "learning_rate": 0.0003,
198
+ "loss": 1.9531,
199
+ "step": 900
200
+ },
201
+ {
202
+ "epoch": 0.35,
203
+ "eval_loss": 1.8900243043899536,
204
+ "eval_runtime": 110.1408,
205
+ "eval_samples_per_second": 0.935,
206
+ "eval_steps_per_second": 0.236,
207
+ "step": 900
208
+ },
209
+ {
210
+ "epoch": 0.37,
211
+ "grad_norm": 1.2318661212921143,
212
+ "learning_rate": 0.0003,
213
+ "loss": 1.9663,
214
+ "step": 950
215
+ },
216
+ {
217
+ "epoch": 0.39,
218
+ "grad_norm": 1.4853723049163818,
219
+ "learning_rate": 0.0003,
220
+ "loss": 1.9804,
221
+ "step": 1000
222
+ },
223
+ {
224
+ "epoch": 0.39,
225
+ "eval_loss": 1.896203875541687,
226
+ "eval_runtime": 109.686,
227
+ "eval_samples_per_second": 0.939,
228
+ "eval_steps_per_second": 0.237,
229
+ "step": 1000
230
+ },
231
+ {
232
+ "epoch": 0.41,
233
+ "grad_norm": 1.1880249977111816,
234
+ "learning_rate": 0.0003,
235
+ "loss": 1.9693,
236
+ "step": 1050
237
+ },
238
+ {
239
+ "epoch": 0.43,
240
+ "grad_norm": 2.1265156269073486,
241
+ "learning_rate": 0.0003,
242
+ "loss": 1.9953,
243
+ "step": 1100
244
+ },
245
+ {
246
+ "epoch": 0.43,
247
+ "eval_loss": 1.8932738304138184,
248
+ "eval_runtime": 109.7941,
249
+ "eval_samples_per_second": 0.938,
250
+ "eval_steps_per_second": 0.237,
251
+ "step": 1100
252
+ },
253
+ {
254
+ "epoch": 0.45,
255
+ "grad_norm": 2.2788913249969482,
256
+ "learning_rate": 0.0003,
257
+ "loss": 1.9427,
258
+ "step": 1150
259
+ },
260
+ {
261
+ "epoch": 0.47,
262
+ "grad_norm": 1.2446949481964111,
263
+ "learning_rate": 0.0003,
264
+ "loss": 1.9435,
265
+ "step": 1200
266
+ },
267
+ {
268
+ "epoch": 0.47,
269
+ "eval_loss": 1.891483187675476,
270
+ "eval_runtime": 109.743,
271
+ "eval_samples_per_second": 0.939,
272
+ "eval_steps_per_second": 0.237,
273
+ "step": 1200
274
+ },
275
+ {
276
+ "epoch": 0.49,
277
+ "grad_norm": 1.5069431066513062,
278
+ "learning_rate": 0.0003,
279
+ "loss": 1.9891,
280
+ "step": 1250
281
+ },
282
+ {
283
+ "epoch": 0.51,
284
+ "grad_norm": 1.3292410373687744,
285
+ "learning_rate": 0.0003,
286
+ "loss": 1.9804,
287
+ "step": 1300
288
+ },
289
+ {
290
+ "epoch": 0.51,
291
+ "eval_loss": 1.8822150230407715,
292
+ "eval_runtime": 109.7975,
293
+ "eval_samples_per_second": 0.938,
294
+ "eval_steps_per_second": 0.237,
295
+ "step": 1300
296
+ },
297
+ {
298
+ "epoch": 0.53,
299
+ "grad_norm": 1.274938941001892,
300
+ "learning_rate": 0.0003,
301
+ "loss": 1.9754,
302
+ "step": 1350
303
+ },
304
+ {
305
+ "epoch": 0.55,
306
+ "grad_norm": 1.5717120170593262,
307
+ "learning_rate": 0.0003,
308
+ "loss": 1.9758,
309
+ "step": 1400
310
+ },
311
+ {
312
+ "epoch": 0.55,
313
+ "eval_loss": 1.8797138929367065,
314
+ "eval_runtime": 109.9298,
315
+ "eval_samples_per_second": 0.937,
316
+ "eval_steps_per_second": 0.237,
317
+ "step": 1400
318
+ },
319
+ {
320
+ "epoch": 0.57,
321
+ "grad_norm": 1.445812463760376,
322
+ "learning_rate": 0.0003,
323
+ "loss": 1.9378,
324
+ "step": 1450
325
+ },
326
+ {
327
+ "epoch": 0.59,
328
+ "grad_norm": 1.3848668336868286,
329
+ "learning_rate": 0.0003,
330
+ "loss": 1.9472,
331
+ "step": 1500
332
+ },
333
+ {
334
+ "epoch": 0.59,
335
+ "eval_loss": 1.8788877725601196,
336
+ "eval_runtime": 109.275,
337
+ "eval_samples_per_second": 0.943,
338
+ "eval_steps_per_second": 0.238,
339
+ "step": 1500
340
+ },
341
+ {
342
+ "epoch": 0.61,
343
+ "grad_norm": 1.536832332611084,
344
+ "learning_rate": 0.0003,
345
+ "loss": 1.9483,
346
+ "step": 1550
347
+ },
348
+ {
349
+ "epoch": 0.63,
350
+ "grad_norm": 1.37943696975708,
351
+ "learning_rate": 0.0003,
352
+ "loss": 1.9507,
353
+ "step": 1600
354
+ },
355
+ {
356
+ "epoch": 0.63,
357
+ "eval_loss": 1.8768367767333984,
358
+ "eval_runtime": 109.2487,
359
+ "eval_samples_per_second": 0.943,
360
+ "eval_steps_per_second": 0.238,
361
+ "step": 1600
362
+ },
363
+ {
364
+ "epoch": 0.65,
365
+ "grad_norm": 1.1901755332946777,
366
+ "learning_rate": 0.0003,
367
+ "loss": 1.9402,
368
+ "step": 1650
369
+ },
370
+ {
371
+ "epoch": 0.67,
372
+ "grad_norm": 1.0710890293121338,
373
+ "learning_rate": 0.0003,
374
+ "loss": 1.9488,
375
+ "step": 1700
376
+ },
377
+ {
378
+ "epoch": 0.67,
379
+ "eval_loss": 1.884979009628296,
380
+ "eval_runtime": 109.08,
381
+ "eval_samples_per_second": 0.944,
382
+ "eval_steps_per_second": 0.238,
383
+ "step": 1700
384
+ },
385
+ {
386
+ "epoch": 0.69,
387
+ "grad_norm": 1.2577444314956665,
388
+ "learning_rate": 0.0003,
389
+ "loss": 1.9571,
390
+ "step": 1750
391
+ },
392
+ {
393
+ "epoch": 0.71,
394
+ "grad_norm": 2.273926258087158,
395
+ "learning_rate": 0.0003,
396
+ "loss": 1.9708,
397
+ "step": 1800
398
+ },
399
+ {
400
+ "epoch": 0.71,
401
+ "eval_loss": 1.8852429389953613,
402
+ "eval_runtime": 109.1066,
403
+ "eval_samples_per_second": 0.944,
404
+ "eval_steps_per_second": 0.238,
405
+ "step": 1800
406
+ },
407
+ {
408
+ "epoch": 0.73,
409
+ "grad_norm": 1.308111548423767,
410
+ "learning_rate": 0.0003,
411
+ "loss": 1.989,
412
+ "step": 1850
413
+ },
414
+ {
415
+ "epoch": 0.75,
416
+ "grad_norm": 1.5021519660949707,
417
+ "learning_rate": 0.0003,
418
+ "loss": 1.9692,
419
+ "step": 1900
420
+ },
421
+ {
422
+ "epoch": 0.75,
423
+ "eval_loss": 1.8924355506896973,
424
+ "eval_runtime": 108.9102,
425
+ "eval_samples_per_second": 0.946,
426
+ "eval_steps_per_second": 0.239,
427
+ "step": 1900
428
+ },
429
+ {
430
+ "epoch": 0.77,
431
+ "grad_norm": 1.4355289936065674,
432
+ "learning_rate": 0.0003,
433
+ "loss": 1.948,
434
+ "step": 1950
435
+ },
436
+ {
437
+ "epoch": 0.79,
438
+ "grad_norm": 1.268176794052124,
439
+ "learning_rate": 0.0003,
440
+ "loss": 1.9708,
441
+ "step": 2000
442
+ },
443
+ {
444
+ "epoch": 0.79,
445
+ "eval_loss": 1.8840947151184082,
446
+ "eval_runtime": 109.0758,
447
+ "eval_samples_per_second": 0.944,
448
+ "eval_steps_per_second": 0.238,
449
+ "step": 2000
450
+ },
451
+ {
452
+ "epoch": 0.81,
453
+ "grad_norm": 1.141319990158081,
454
+ "learning_rate": 0.0003,
455
+ "loss": 1.9651,
456
+ "step": 2050
457
+ },
458
+ {
459
+ "epoch": 0.83,
460
+ "grad_norm": 1.4737452268600464,
461
+ "learning_rate": 0.0003,
462
+ "loss": 1.976,
463
+ "step": 2100
464
+ },
465
+ {
466
+ "epoch": 0.83,
467
+ "eval_loss": 1.8879451751708984,
468
+ "eval_runtime": 109.5286,
469
+ "eval_samples_per_second": 0.94,
470
+ "eval_steps_per_second": 0.237,
471
+ "step": 2100
472
+ },
473
+ {
474
+ "epoch": 0.85,
475
+ "grad_norm": 1.5503915548324585,
476
+ "learning_rate": 0.0003,
477
+ "loss": 1.9487,
478
+ "step": 2150
479
+ },
480
+ {
481
+ "epoch": 0.87,
482
+ "grad_norm": 1.513409972190857,
483
+ "learning_rate": 0.0003,
484
+ "loss": 1.9337,
485
+ "step": 2200
486
+ },
487
+ {
488
+ "epoch": 0.87,
489
+ "eval_loss": 1.8889082670211792,
490
+ "eval_runtime": 109.4713,
491
+ "eval_samples_per_second": 0.941,
492
+ "eval_steps_per_second": 0.238,
493
+ "step": 2200
494
+ }
495
+ ],
496
+ "logging_steps": 50,
497
+ "max_steps": 12710,
498
+ "num_input_tokens_seen": 0,
499
+ "num_train_epochs": 5,
500
+ "save_steps": 100,
501
+ "total_flos": 1.851841171907674e+18,
502
+ "train_batch_size": 2,
503
+ "trial_name": null,
504
+ "trial_params": null
505
+ }
checkpoint-2200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7aa6a145827ab3567f8d35dec10f844e10312812d3470e09d369a923854ee9fe
3
+ size 5112