brthor commited on
Commit
d570d7c
·
verified ·
1 Parent(s): 3925ca9

Upload full trainer checkpoint step=366 (profile=llama3_1_8b_base_lessdata, run_type=sft)

Browse files
.gitattributes CHANGED
@@ -148,3 +148,4 @@ meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-23460/tokenizer.json fi
148
  meta-llama__meta-llama-3.1-8b/sft/epoch_0004/tokenizer.json filter=lfs diff=lfs merge=lfs -text
149
  meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-1013/tokenizer.json filter=lfs diff=lfs merge=lfs -text
150
  meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 
 
148
  meta-llama__meta-llama-3.1-8b/sft/epoch_0004/tokenizer.json filter=lfs diff=lfs merge=lfs -text
149
  meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-1013/tokenizer.json filter=lfs diff=lfs merge=lfs -text
150
  meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/tokenizer.json filter=lfs diff=lfs merge=lfs -text
151
+ meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/tokenizer.json filter=lfs diff=lfs merge=lfs -text
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/README.md ADDED
@@ -0,0 +1,210 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: unsloth/Meta-Llama-3.1-8B
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:unsloth/Meta-Llama-3.1-8B
7
+ - lora
8
+ - sft
9
+ - transformers
10
+ - trl
11
+ - unsloth
12
+ ---
13
+
14
+ # Model Card for Model ID
15
+
16
+ <!-- Provide a quick summary of what the model is/does. -->
17
+
18
+
19
+
20
+ ## Model Details
21
+
22
+ ### Model Description
23
+
24
+ <!-- Provide a longer summary of what this model is. -->
25
+
26
+
27
+
28
+ - **Developed by:** [More Information Needed]
29
+ - **Funded by [optional]:** [More Information Needed]
30
+ - **Shared by [optional]:** [More Information Needed]
31
+ - **Model type:** [More Information Needed]
32
+ - **Language(s) (NLP):** [More Information Needed]
33
+ - **License:** [More Information Needed]
34
+ - **Finetuned from model [optional]:** [More Information Needed]
35
+
36
+ ### Model Sources [optional]
37
+
38
+ <!-- Provide the basic links for the model. -->
39
+
40
+ - **Repository:** [More Information Needed]
41
+ - **Paper [optional]:** [More Information Needed]
42
+ - **Demo [optional]:** [More Information Needed]
43
+
44
+ ## Uses
45
+
46
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
47
+
48
+ ### Direct Use
49
+
50
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
51
+
52
+ [More Information Needed]
53
+
54
+ ### Downstream Use [optional]
55
+
56
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
57
+
58
+ [More Information Needed]
59
+
60
+ ### Out-of-Scope Use
61
+
62
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
63
+
64
+ [More Information Needed]
65
+
66
+ ## Bias, Risks, and Limitations
67
+
68
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
69
+
70
+ [More Information Needed]
71
+
72
+ ### Recommendations
73
+
74
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
75
+
76
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
77
+
78
+ ## How to Get Started with the Model
79
+
80
+ Use the code below to get started with the model.
81
+
82
+ [More Information Needed]
83
+
84
+ ## Training Details
85
+
86
+ ### Training Data
87
+
88
+ <!-- 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. -->
89
+
90
+ [More Information Needed]
91
+
92
+ ### Training Procedure
93
+
94
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
95
+
96
+ #### Preprocessing [optional]
97
+
98
+ [More Information Needed]
99
+
100
+
101
+ #### Training Hyperparameters
102
+
103
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
104
+
105
+ #### Speeds, Sizes, Times [optional]
106
+
107
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
108
+
109
+ [More Information Needed]
110
+
111
+ ## Evaluation
112
+
113
+ <!-- This section describes the evaluation protocols and provides the results. -->
114
+
115
+ ### Testing Data, Factors & Metrics
116
+
117
+ #### Testing Data
118
+
119
+ <!-- This should link to a Dataset Card if possible. -->
120
+
121
+ [More Information Needed]
122
+
123
+ #### Factors
124
+
125
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
126
+
127
+ [More Information Needed]
128
+
129
+ #### Metrics
130
+
131
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
132
+
133
+ [More Information Needed]
134
+
135
+ ### Results
136
+
137
+ [More Information Needed]
138
+
139
+ #### Summary
140
+
141
+
142
+
143
+ ## Model Examination [optional]
144
+
145
+ <!-- Relevant interpretability work for the model goes here -->
146
+
147
+ [More Information Needed]
148
+
149
+ ## Environmental Impact
150
+
151
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
152
+
153
+ 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).
154
+
155
+ - **Hardware Type:** [More Information Needed]
156
+ - **Hours used:** [More Information Needed]
157
+ - **Cloud Provider:** [More Information Needed]
158
+ - **Compute Region:** [More Information Needed]
159
+ - **Carbon Emitted:** [More Information Needed]
160
+
161
+ ## Technical Specifications [optional]
162
+
163
+ ### Model Architecture and Objective
164
+
165
+ [More Information Needed]
166
+
167
+ ### Compute Infrastructure
168
+
169
+ [More Information Needed]
170
+
171
+ #### Hardware
172
+
173
+ [More Information Needed]
174
+
175
+ #### Software
176
+
177
+ [More Information Needed]
178
+
179
+ ## Citation [optional]
180
+
181
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
182
+
183
+ **BibTeX:**
184
+
185
+ [More Information Needed]
186
+
187
+ **APA:**
188
+
189
+ [More Information Needed]
190
+
191
+ ## Glossary [optional]
192
+
193
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
194
+
195
+ [More Information Needed]
196
+
197
+ ## More Information [optional]
198
+
199
+ [More Information Needed]
200
+
201
+ ## Model Card Authors [optional]
202
+
203
+ [More Information Needed]
204
+
205
+ ## Model Card Contact
206
+
207
+ [More Information Needed]
208
+ ### Framework versions
209
+
210
+ - PEFT 0.18.1
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/adapter_config.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": {
6
+ "base_model_class": "LlamaForCausalLM",
7
+ "parent_library": "transformers.models.llama.modeling_llama",
8
+ "unsloth_fixed": true
9
+ },
10
+ "base_model_name_or_path": "unsloth/Meta-Llama-3.1-8B",
11
+ "bias": "none",
12
+ "corda_config": null,
13
+ "ensure_weight_tying": false,
14
+ "eva_config": null,
15
+ "exclude_modules": null,
16
+ "fan_in_fan_out": false,
17
+ "inference_mode": true,
18
+ "init_lora_weights": true,
19
+ "layer_replication": null,
20
+ "layers_pattern": null,
21
+ "layers_to_transform": null,
22
+ "loftq_config": {},
23
+ "lora_alpha": 16,
24
+ "lora_bias": false,
25
+ "lora_dropout": 0.0,
26
+ "megatron_config": null,
27
+ "megatron_core": "megatron.core",
28
+ "modules_to_save": null,
29
+ "peft_type": "LORA",
30
+ "peft_version": "0.18.1",
31
+ "qalora_group_size": 16,
32
+ "r": 8,
33
+ "rank_pattern": {},
34
+ "revision": null,
35
+ "target_modules": [
36
+ "q_proj",
37
+ "k_proj",
38
+ "up_proj",
39
+ "gate_proj",
40
+ "down_proj",
41
+ "o_proj",
42
+ "v_proj"
43
+ ],
44
+ "target_parameters": null,
45
+ "task_type": "CAUSAL_LM",
46
+ "trainable_token_indices": null,
47
+ "use_dora": false,
48
+ "use_qalora": false,
49
+ "use_rslora": false
50
+ }
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6c9911f65f699f709137449b7fd67dc4169e85312261cb1399120c30d43c385a
3
+ size 83945296
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/chat_template.jinja ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ messages[0]['content'] + '
2
+
3
+ ' }}{% set loop_messages = messages[1:] %}{% else %}{{ '' + '
4
+
5
+ ' }}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}{{ '### Instruction:
6
+ ' + message['content'] + '
7
+
8
+ ' }}{% elif message['role'] == 'assistant' %}{{ '### Response:
9
+ ' + message['content'] + eos_token + '
10
+
11
+ ' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '### Response:
12
+ ' }}{% endif %}
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b05cd08b59bd0bc6fa85d84799234d7565c94ef200529e156539f4df4ff5812a
3
+ size 43127973
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ccb8eeb935749fc43744e0a5eeacdf6f0f10253be15266a497cbca0ffaa2573
3
+ size 14645
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e6f3cf2c5fd59db6240cf83ae7ce4eb18e62c53f5ee17beab20e8a15a21a4746
3
+ size 1465
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
3
+ size 17209920
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/tokenizer_config.json ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "backend": "tokenizers",
3
+ "bos_token": "<|begin_of_text|>",
4
+ "clean_up_tokenization_spaces": true,
5
+ "eos_token": "<|end_of_text|>",
6
+ "from_slow": true,
7
+ "is_local": false,
8
+ "legacy": false,
9
+ "model_input_names": [
10
+ "input_ids",
11
+ "attention_mask"
12
+ ],
13
+ "model_max_length": 131072,
14
+ "pad_token": "<|finetune_right_pad_id|>",
15
+ "padding_side": "right",
16
+ "tokenizer_class": "TokenizersBackend",
17
+ "unk_token": null
18
+ }
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/trainer_state.json ADDED
@@ -0,0 +1,561 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.24965893587994542,
6
+ "eval_steps": 366,
7
+ "global_step": 366,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0034106412005457027,
14
+ "grad_norm": 3.1571648120880127,
15
+ "learning_rate": 2.542372881355932e-06,
16
+ "loss": 1.6981744766235352,
17
+ "step": 5
18
+ },
19
+ {
20
+ "epoch": 0.0068212824010914054,
21
+ "grad_norm": 9.80073070526123,
22
+ "learning_rate": 5.720338983050847e-06,
23
+ "loss": 1.5801130294799806,
24
+ "step": 10
25
+ },
26
+ {
27
+ "epoch": 0.010231923601637109,
28
+ "grad_norm": 4.481558799743652,
29
+ "learning_rate": 8.898305084745763e-06,
30
+ "loss": 2.1718717575073243,
31
+ "step": 15
32
+ },
33
+ {
34
+ "epoch": 0.013642564802182811,
35
+ "grad_norm": 7.221553802490234,
36
+ "learning_rate": 1.2076271186440677e-05,
37
+ "loss": 1.5270480155944823,
38
+ "step": 20
39
+ },
40
+ {
41
+ "epoch": 0.017053206002728513,
42
+ "grad_norm": 5.330269813537598,
43
+ "learning_rate": 1.5254237288135592e-05,
44
+ "loss": 0.9586630821228027,
45
+ "step": 25
46
+ },
47
+ {
48
+ "epoch": 0.020463847203274217,
49
+ "grad_norm": 1.7404323816299438,
50
+ "learning_rate": 1.8432203389830506e-05,
51
+ "loss": 0.48505802154541017,
52
+ "step": 30
53
+ },
54
+ {
55
+ "epoch": 0.023874488403819918,
56
+ "grad_norm": 1.2418887615203857,
57
+ "learning_rate": 2.1610169491525424e-05,
58
+ "loss": 0.24452033042907714,
59
+ "step": 35
60
+ },
61
+ {
62
+ "epoch": 0.027285129604365622,
63
+ "grad_norm": 1.5928819179534912,
64
+ "learning_rate": 2.4788135593220338e-05,
65
+ "loss": 0.25337533950805663,
66
+ "step": 40
67
+ },
68
+ {
69
+ "epoch": 0.030695770804911322,
70
+ "grad_norm": 2.0335769653320312,
71
+ "learning_rate": 2.796610169491525e-05,
72
+ "loss": 0.1938886046409607,
73
+ "step": 45
74
+ },
75
+ {
76
+ "epoch": 0.034106412005457026,
77
+ "grad_norm": 0.18029411137104034,
78
+ "learning_rate": 3.114406779661017e-05,
79
+ "loss": 0.1834133505821228,
80
+ "step": 50
81
+ },
82
+ {
83
+ "epoch": 0.03751705320600273,
84
+ "grad_norm": 1.7757192850112915,
85
+ "learning_rate": 3.432203389830508e-05,
86
+ "loss": 0.15151114463806153,
87
+ "step": 55
88
+ },
89
+ {
90
+ "epoch": 0.040927694406548434,
91
+ "grad_norm": 2.1376893520355225,
92
+ "learning_rate": 3.75e-05,
93
+ "loss": 0.21634674072265625,
94
+ "step": 60
95
+ },
96
+ {
97
+ "epoch": 0.04433833560709413,
98
+ "grad_norm": 2.196387767791748,
99
+ "learning_rate": 4.067796610169491e-05,
100
+ "loss": 0.11320395469665527,
101
+ "step": 65
102
+ },
103
+ {
104
+ "epoch": 0.047748976807639835,
105
+ "grad_norm": 1.5888807773590088,
106
+ "learning_rate": 4.3855932203389825e-05,
107
+ "loss": 0.11050152778625488,
108
+ "step": 70
109
+ },
110
+ {
111
+ "epoch": 0.05115961800818554,
112
+ "grad_norm": 4.606944561004639,
113
+ "learning_rate": 4.703389830508474e-05,
114
+ "loss": 0.23255281448364257,
115
+ "step": 75
116
+ },
117
+ {
118
+ "epoch": 0.054570259208731244,
119
+ "grad_norm": 1.7308639287948608,
120
+ "learning_rate": 5.021186440677966e-05,
121
+ "loss": 0.08995866179466247,
122
+ "step": 80
123
+ },
124
+ {
125
+ "epoch": 0.05798090040927694,
126
+ "grad_norm": 2.622438430786133,
127
+ "learning_rate": 5.338983050847457e-05,
128
+ "loss": 0.05715223550796509,
129
+ "step": 85
130
+ },
131
+ {
132
+ "epoch": 0.061391541609822645,
133
+ "grad_norm": 0.34140461683273315,
134
+ "learning_rate": 5.656779661016949e-05,
135
+ "loss": 0.06703727245330811,
136
+ "step": 90
137
+ },
138
+ {
139
+ "epoch": 0.06480218281036836,
140
+ "grad_norm": 2.7264959812164307,
141
+ "learning_rate": 5.97457627118644e-05,
142
+ "loss": 0.10092716217041016,
143
+ "step": 95
144
+ },
145
+ {
146
+ "epoch": 0.06821282401091405,
147
+ "grad_norm": 2.0234780311584473,
148
+ "learning_rate": 6.292372881355932e-05,
149
+ "loss": 0.03579937815666199,
150
+ "step": 100
151
+ },
152
+ {
153
+ "epoch": 0.07162346521145975,
154
+ "grad_norm": 1.3716133832931519,
155
+ "learning_rate": 6.610169491525423e-05,
156
+ "loss": 0.07851418852806091,
157
+ "step": 105
158
+ },
159
+ {
160
+ "epoch": 0.07503410641200546,
161
+ "grad_norm": 1.2307227849960327,
162
+ "learning_rate": 6.927966101694914e-05,
163
+ "loss": 0.07370938658714295,
164
+ "step": 110
165
+ },
166
+ {
167
+ "epoch": 0.07844474761255116,
168
+ "grad_norm": 1.7142690420150757,
169
+ "learning_rate": 7.245762711864406e-05,
170
+ "loss": 0.08064572811126709,
171
+ "step": 115
172
+ },
173
+ {
174
+ "epoch": 0.08185538881309687,
175
+ "grad_norm": 1.343595266342163,
176
+ "learning_rate": 7.499999439507554e-05,
177
+ "loss": 0.11841402053833008,
178
+ "step": 120
179
+ },
180
+ {
181
+ "epoch": 0.08526603001364257,
182
+ "grad_norm": 1.2511327266693115,
183
+ "learning_rate": 7.499979822289558e-05,
184
+ "loss": 0.06974860429763793,
185
+ "step": 125
186
+ },
187
+ {
188
+ "epoch": 0.08867667121418826,
189
+ "grad_norm": 1.5642656087875366,
190
+ "learning_rate": 7.49993218061684e-05,
191
+ "loss": 0.10972714424133301,
192
+ "step": 130
193
+ },
194
+ {
195
+ "epoch": 0.09208731241473397,
196
+ "grad_norm": 1.6669789552688599,
197
+ "learning_rate": 7.499856514845436e-05,
198
+ "loss": 0.09864612817764282,
199
+ "step": 135
200
+ },
201
+ {
202
+ "epoch": 0.09549795361527967,
203
+ "grad_norm": 0.9789333343505859,
204
+ "learning_rate": 7.499752825540815e-05,
205
+ "loss": 0.0699621558189392,
206
+ "step": 140
207
+ },
208
+ {
209
+ "epoch": 0.09890859481582538,
210
+ "grad_norm": 0.41792476177215576,
211
+ "learning_rate": 7.499621113477873e-05,
212
+ "loss": 0.06734349727630615,
213
+ "step": 145
214
+ },
215
+ {
216
+ "epoch": 0.10231923601637108,
217
+ "grad_norm": 1.5968533754348755,
218
+ "learning_rate": 7.499461379640919e-05,
219
+ "loss": 0.060729533433914185,
220
+ "step": 150
221
+ },
222
+ {
223
+ "epoch": 0.10572987721691678,
224
+ "grad_norm": 0.8512193560600281,
225
+ "learning_rate": 7.499273625223683e-05,
226
+ "loss": 0.052730172872543335,
227
+ "step": 155
228
+ },
229
+ {
230
+ "epoch": 0.10914051841746249,
231
+ "grad_norm": 1.3257211446762085,
232
+ "learning_rate": 7.499057851629299e-05,
233
+ "loss": 0.10094538927078248,
234
+ "step": 160
235
+ },
236
+ {
237
+ "epoch": 0.11255115961800818,
238
+ "grad_norm": 0.659118115901947,
239
+ "learning_rate": 7.498814060470288e-05,
240
+ "loss": 0.01604635864496231,
241
+ "step": 165
242
+ },
243
+ {
244
+ "epoch": 0.11596180081855388,
245
+ "grad_norm": 2.454979181289673,
246
+ "learning_rate": 7.49854225356856e-05,
247
+ "loss": 0.13272385597229003,
248
+ "step": 170
249
+ },
250
+ {
251
+ "epoch": 0.11937244201909959,
252
+ "grad_norm": 2.510040521621704,
253
+ "learning_rate": 7.498242432955388e-05,
254
+ "loss": 0.08396227955818177,
255
+ "step": 175
256
+ },
257
+ {
258
+ "epoch": 0.12278308321964529,
259
+ "grad_norm": 0.2637259364128113,
260
+ "learning_rate": 7.4979146008714e-05,
261
+ "loss": 0.05852065086364746,
262
+ "step": 180
263
+ },
264
+ {
265
+ "epoch": 0.126193724420191,
266
+ "grad_norm": 1.4320851564407349,
267
+ "learning_rate": 7.497558759766564e-05,
268
+ "loss": 0.10392802953720093,
269
+ "step": 185
270
+ },
271
+ {
272
+ "epoch": 0.1296043656207367,
273
+ "grad_norm": 1.273027777671814,
274
+ "learning_rate": 7.497174912300156e-05,
275
+ "loss": 0.08062989711761474,
276
+ "step": 190
277
+ },
278
+ {
279
+ "epoch": 0.1330150068212824,
280
+ "grad_norm": 0.8102871179580688,
281
+ "learning_rate": 7.496763061340759e-05,
282
+ "loss": 0.07294153571128845,
283
+ "step": 195
284
+ },
285
+ {
286
+ "epoch": 0.1364256480218281,
287
+ "grad_norm": 1.951328992843628,
288
+ "learning_rate": 7.496323209966228e-05,
289
+ "loss": 0.07738351821899414,
290
+ "step": 200
291
+ },
292
+ {
293
+ "epoch": 0.13983628922237382,
294
+ "grad_norm": 0.3880983889102936,
295
+ "learning_rate": 7.495855361463674e-05,
296
+ "loss": 0.07225048542022705,
297
+ "step": 205
298
+ },
299
+ {
300
+ "epoch": 0.1432469304229195,
301
+ "grad_norm": 3.3205058574676514,
302
+ "learning_rate": 7.495359519329433e-05,
303
+ "loss": 0.05682974457740784,
304
+ "step": 210
305
+ },
306
+ {
307
+ "epoch": 0.1466575716234652,
308
+ "grad_norm": 0.9203559160232544,
309
+ "learning_rate": 7.49483568726905e-05,
310
+ "loss": 0.08767472505569458,
311
+ "step": 215
312
+ },
313
+ {
314
+ "epoch": 0.15006821282401092,
315
+ "grad_norm": 0.585360586643219,
316
+ "learning_rate": 7.494283869197239e-05,
317
+ "loss": 0.039227068424224854,
318
+ "step": 220
319
+ },
320
+ {
321
+ "epoch": 0.1534788540245566,
322
+ "grad_norm": 1.7096059322357178,
323
+ "learning_rate": 7.493704069237862e-05,
324
+ "loss": 0.10281096696853638,
325
+ "step": 225
326
+ },
327
+ {
328
+ "epoch": 0.15688949522510232,
329
+ "grad_norm": 0.4110204875469208,
330
+ "learning_rate": 7.493096291723898e-05,
331
+ "loss": 0.04346161186695099,
332
+ "step": 230
333
+ },
334
+ {
335
+ "epoch": 0.16030013642564803,
336
+ "grad_norm": 1.3272292613983154,
337
+ "learning_rate": 7.492460541197404e-05,
338
+ "loss": 0.049719154834747314,
339
+ "step": 235
340
+ },
341
+ {
342
+ "epoch": 0.16371077762619374,
343
+ "grad_norm": 1.1005016565322876,
344
+ "learning_rate": 7.491796822409494e-05,
345
+ "loss": 0.09335108399391175,
346
+ "step": 240
347
+ },
348
+ {
349
+ "epoch": 0.16712141882673942,
350
+ "grad_norm": 0.7811501026153564,
351
+ "learning_rate": 7.491105140320285e-05,
352
+ "loss": 0.05943926572799683,
353
+ "step": 245
354
+ },
355
+ {
356
+ "epoch": 0.17053206002728513,
357
+ "grad_norm": 1.4607417583465576,
358
+ "learning_rate": 7.490385500098879e-05,
359
+ "loss": 0.04385361075401306,
360
+ "step": 250
361
+ },
362
+ {
363
+ "epoch": 0.17394270122783084,
364
+ "grad_norm": 0.394960880279541,
365
+ "learning_rate": 7.489637907123308e-05,
366
+ "loss": 0.04446137547492981,
367
+ "step": 255
368
+ },
369
+ {
370
+ "epoch": 0.17735334242837653,
371
+ "grad_norm": 0.8768635988235474,
372
+ "learning_rate": 7.488862366980505e-05,
373
+ "loss": 0.04143576025962829,
374
+ "step": 260
375
+ },
376
+ {
377
+ "epoch": 0.18076398362892224,
378
+ "grad_norm": 1.9996010065078735,
379
+ "learning_rate": 7.488058885466262e-05,
380
+ "loss": 0.07952215671539306,
381
+ "step": 265
382
+ },
383
+ {
384
+ "epoch": 0.18417462482946795,
385
+ "grad_norm": 0.03770223259925842,
386
+ "learning_rate": 7.487227468585178e-05,
387
+ "loss": 0.02531362771987915,
388
+ "step": 270
389
+ },
390
+ {
391
+ "epoch": 0.18758526603001363,
392
+ "grad_norm": 0.26082542538642883,
393
+ "learning_rate": 7.486368122550619e-05,
394
+ "loss": 0.09930967688560485,
395
+ "step": 275
396
+ },
397
+ {
398
+ "epoch": 0.19099590723055934,
399
+ "grad_norm": 5.622270584106445,
400
+ "learning_rate": 7.485480853784677e-05,
401
+ "loss": 0.06534865498542786,
402
+ "step": 280
403
+ },
404
+ {
405
+ "epoch": 0.19440654843110505,
406
+ "grad_norm": 0.5298851132392883,
407
+ "learning_rate": 7.484565668918111e-05,
408
+ "loss": 0.06109699010848999,
409
+ "step": 285
410
+ },
411
+ {
412
+ "epoch": 0.19781718963165076,
413
+ "grad_norm": 1.4887421131134033,
414
+ "learning_rate": 7.483622574790308e-05,
415
+ "loss": 0.048966211080551145,
416
+ "step": 290
417
+ },
418
+ {
419
+ "epoch": 0.20122783083219645,
420
+ "grad_norm": 0.5699282884597778,
421
+ "learning_rate": 7.482651578449223e-05,
422
+ "loss": 0.05427658557891846,
423
+ "step": 295
424
+ },
425
+ {
426
+ "epoch": 0.20463847203274216,
427
+ "grad_norm": 1.6645292043685913,
428
+ "learning_rate": 7.481652687151339e-05,
429
+ "loss": 0.037466832995414735,
430
+ "step": 300
431
+ },
432
+ {
433
+ "epoch": 0.20804911323328787,
434
+ "grad_norm": 0.4979431629180908,
435
+ "learning_rate": 7.480625908361593e-05,
436
+ "loss": 0.019084173440933227,
437
+ "step": 305
438
+ },
439
+ {
440
+ "epoch": 0.21145975443383355,
441
+ "grad_norm": 2.73081636428833,
442
+ "learning_rate": 7.479571249753339e-05,
443
+ "loss": 0.07597044706344605,
444
+ "step": 310
445
+ },
446
+ {
447
+ "epoch": 0.21487039563437926,
448
+ "grad_norm": 0.009097559377551079,
449
+ "learning_rate": 7.478488719208281e-05,
450
+ "loss": 0.017771795392036438,
451
+ "step": 315
452
+ },
453
+ {
454
+ "epoch": 0.21828103683492497,
455
+ "grad_norm": 1.5284112691879272,
456
+ "learning_rate": 7.477378324816419e-05,
457
+ "loss": 0.07524526119232178,
458
+ "step": 320
459
+ },
460
+ {
461
+ "epoch": 0.22169167803547066,
462
+ "grad_norm": 1.400959849357605,
463
+ "learning_rate": 7.47624007487598e-05,
464
+ "loss": 0.0357323557138443,
465
+ "step": 325
466
+ },
467
+ {
468
+ "epoch": 0.22510231923601637,
469
+ "grad_norm": 0.5988397598266602,
470
+ "learning_rate": 7.47507397789337e-05,
471
+ "loss": 0.06072888970375061,
472
+ "step": 330
473
+ },
474
+ {
475
+ "epoch": 0.22851296043656208,
476
+ "grad_norm": 0.18309183418750763,
477
+ "learning_rate": 7.473880042583092e-05,
478
+ "loss": 0.03904334008693695,
479
+ "step": 335
480
+ },
481
+ {
482
+ "epoch": 0.23192360163710776,
483
+ "grad_norm": 0.7360084056854248,
484
+ "learning_rate": 7.472658277867702e-05,
485
+ "loss": 0.05045387148857117,
486
+ "step": 340
487
+ },
488
+ {
489
+ "epoch": 0.23533424283765347,
490
+ "grad_norm": 2.315072536468506,
491
+ "learning_rate": 7.471408692877724e-05,
492
+ "loss": 0.07920202016830444,
493
+ "step": 345
494
+ },
495
+ {
496
+ "epoch": 0.23874488403819918,
497
+ "grad_norm": 1.2811086177825928,
498
+ "learning_rate": 7.470131296951592e-05,
499
+ "loss": 0.05552580952644348,
500
+ "step": 350
501
+ },
502
+ {
503
+ "epoch": 0.2421555252387449,
504
+ "grad_norm": 4.006563186645508,
505
+ "learning_rate": 7.468826099635578e-05,
506
+ "loss": 0.1419215679168701,
507
+ "step": 355
508
+ },
509
+ {
510
+ "epoch": 0.24556616643929058,
511
+ "grad_norm": 1.1540688276290894,
512
+ "learning_rate": 7.467493110683718e-05,
513
+ "loss": 0.03980849981307984,
514
+ "step": 360
515
+ },
516
+ {
517
+ "epoch": 0.2489768076398363,
518
+ "grad_norm": 1.5472272634506226,
519
+ "learning_rate": 7.466132340057742e-05,
520
+ "loss": 0.020862475037574768,
521
+ "step": 365
522
+ },
523
+ {
524
+ "epoch": 0.24965893587994542,
525
+ "eval_loss": 0.11654457449913025,
526
+ "eval_runtime": 1.0333,
527
+ "eval_samples_per_second": 72.584,
528
+ "eval_steps_per_second": 1.936,
529
+ "step": 366
530
+ },
531
+ {
532
+ "eval_cer_subset": 0.05232320479629377,
533
+ "eval_cer_subset_edit_distance": 384,
534
+ "eval_cer_subset_groups": 75,
535
+ "eval_cer_subset_items": 75,
536
+ "eval_cer_subset_ref_chars": 7339,
537
+ "step": 366
538
+ }
539
+ ],
540
+ "logging_steps": 5,
541
+ "max_steps": 5864,
542
+ "num_input_tokens_seen": 0,
543
+ "num_train_epochs": 4,
544
+ "save_steps": 366,
545
+ "stateful_callbacks": {
546
+ "TrainerControl": {
547
+ "args": {
548
+ "should_epoch_stop": false,
549
+ "should_evaluate": false,
550
+ "should_log": false,
551
+ "should_save": true,
552
+ "should_training_stop": false
553
+ },
554
+ "attributes": {}
555
+ }
556
+ },
557
+ "total_flos": 3797973616877568.0,
558
+ "train_batch_size": 2,
559
+ "trial_name": null,
560
+ "trial_params": null
561
+ }
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bc6915d8d9dd9b5c9c17756c87ba7ec8221fd06789232d79225f9518167f0aa1
3
+ size 5841
meta-llama__meta-llama-3.1-8b/sft/run_manifest.json CHANGED
@@ -1,104 +1,25 @@
1
  {
2
  "schema_version": 1,
3
- "run_id": "aacb0b6c-2b10-48da-90bc-ca77fd7cac31",
4
  "run_type": "sft",
5
- "profile_name": "llama3_1_8b_base",
6
  "model_name": "meta-llama/Meta-Llama-3.1-8B",
7
- "status": "completed",
8
  "best_metric_name": "eval_loss",
9
- "best_metric_value": 0.03369956836104393,
10
- "best_step": 5864,
11
- "best_checkpoint_step": 5864,
12
- "latest_checkpoint_step": 23460,
13
  "checkpoints": [
14
  {
15
- "step": 1466,
16
- "epoch": 0.24995737425404946,
17
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-1466",
18
- "timestamp": "2026-04-09T06:43:22.133396+00:00"
19
- },
20
- {
21
- "step": 2932,
22
- "epoch": 0.4999147485080989,
23
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-2932",
24
- "timestamp": "2026-04-09T07:05:26.247945+00:00"
25
- },
26
- {
27
- "step": 4398,
28
- "epoch": 0.7498721227621483,
29
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-4398",
30
- "timestamp": "2026-04-09T07:27:30.375921+00:00"
31
- },
32
- {
33
- "step": 5864,
34
- "epoch": 0.9998294970161978,
35
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-5864",
36
- "timestamp": "2026-04-09T07:49:35.524807+00:00"
37
- },
38
- {
39
- "step": 8796,
40
- "epoch": 1.4997442455242966,
41
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-8796",
42
- "timestamp": "2026-04-09T08:33:55.041513+00:00"
43
- },
44
- {
45
- "step": 11728,
46
- "epoch": 1.9996589940323957,
47
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-11728",
48
- "timestamp": "2026-04-09T09:17:58.928263+00:00"
49
- },
50
- {
51
- "step": 17592,
52
- "epoch": 2.9994884910485933,
53
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-17592",
54
- "timestamp": "2026-04-09T10:51:28.078443+00:00"
55
- },
56
- {
57
- "step": 20524,
58
- "epoch": 3.4994032395566923,
59
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-20524",
60
- "timestamp": "2026-04-09T11:35:41.945420+00:00"
61
- },
62
- {
63
- "step": 23456,
64
- "epoch": 3.9993179880647913,
65
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-23456",
66
- "timestamp": "2026-04-09T12:19:46.469075+00:00"
67
- },
68
- {
69
- "step": 23460,
70
- "epoch": 4.0,
71
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-23460",
72
- "timestamp": "2026-04-09T12:19:53.861946+00:00"
73
- }
74
- ],
75
- "epoch_artifacts": [
76
- {
77
- "epoch_label": "epoch_0001",
78
- "global_step": 5865,
79
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/epoch_0001",
80
- "timestamp": "2026-04-09T07:49:42.819325+00:00"
81
- },
82
- {
83
- "epoch_label": "epoch_0002",
84
- "global_step": 11730,
85
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/epoch_0002",
86
- "timestamp": "2026-04-09T09:18:09.377639+00:00"
87
- },
88
- {
89
- "epoch_label": "epoch_0003",
90
- "global_step": 17595,
91
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/epoch_0003",
92
- "timestamp": "2026-04-09T10:51:37.072000+00:00"
93
- },
94
- {
95
- "epoch_label": "epoch_0004",
96
- "global_step": 23460,
97
- "repo_path": "meta-llama__meta-llama-3.1-8b/sft/epoch_0004",
98
- "timestamp": "2026-04-09T12:20:09.009540+00:00"
99
  }
100
  ],
 
101
  "resume_history": [],
102
- "created_at": "2026-04-09T06:12:43.688637+00:00",
103
- "updated_at": "2026-04-09T12:20:10.233837+00:00"
104
  }
 
1
  {
2
  "schema_version": 1,
3
+ "run_id": "b21d4e76-e0f6-4f23-a059-57095fb3ba07",
4
  "run_type": "sft",
5
+ "profile_name": "llama3_1_8b_base_lessdata",
6
  "model_name": "meta-llama/Meta-Llama-3.1-8B",
7
+ "status": "running",
8
  "best_metric_name": "eval_loss",
9
+ "best_metric_value": 0.11654457449913025,
10
+ "best_step": 366,
11
+ "best_checkpoint_step": 366,
12
+ "latest_checkpoint_step": 366,
13
  "checkpoints": [
14
  {
15
+ "step": 366,
16
+ "epoch": 0.24965893587994542,
17
+ "repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366",
18
+ "timestamp": "2026-04-09T22:13:58.949626+00:00"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
19
  }
20
  ],
21
+ "epoch_artifacts": [],
22
  "resume_history": [],
23
+ "created_at": "2026-04-09T22:12:40.588264+00:00",
24
+ "updated_at": "2026-04-09T22:13:58.949641+00:00"
25
  }