Best000 commited on
Commit
ae67d9c
·
verified ·
1 Parent(s): 068a2ee

End of training

Browse files
README.md ADDED
@@ -0,0 +1,167 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ license: other
4
+ base_model: facebook/opt-350m
5
+ tags:
6
+ - axolotl
7
+ - generated_from_trainer
8
+ model-index:
9
+ - name: 32c9118c-9ab2-462a-986b-cb14498ab6d6
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
17
+ <details><summary>See axolotl config</summary>
18
+
19
+ axolotl version: `0.4.1`
20
+ ```yaml
21
+ adapter: lora
22
+ base_model: facebook/opt-350m
23
+ bf16: auto
24
+ chat_template: llama3
25
+ dataset_prepared_path: null
26
+ datasets:
27
+ - data_files:
28
+ - f09a068a17c73549_train_data.json
29
+ ds_type: json
30
+ format: custom
31
+ path: /workspace/input_data/f09a068a17c73549_train_data.json
32
+ type:
33
+ field_instruction: prompt
34
+ field_output: gold_standard_solution
35
+ format: '{instruction}'
36
+ no_input_format: '{instruction}'
37
+ system_format: '{system}'
38
+ system_prompt: ''
39
+ debug: null
40
+ deepspeed: null
41
+ device_map: auto
42
+ do_eval: true
43
+ early_stopping_patience: 3
44
+ eval_batch_size: 4
45
+ eval_max_new_tokens: 128
46
+ eval_steps: 300
47
+ eval_table_size: null
48
+ evals_per_epoch: null
49
+ flash_attention: true
50
+ fp16: false
51
+ fsdp: null
52
+ fsdp_config: null
53
+ gradient_accumulation_steps: 4
54
+ gradient_checkpointing: false
55
+ group_by_length: true
56
+ hub_model_id: Best000/32c9118c-9ab2-462a-986b-cb14498ab6d6
57
+ hub_strategy: end
58
+ learning_rate: 0.0002
59
+ load_in_4bit: false
60
+ load_in_8bit: false
61
+ local_rank: null
62
+ logging_steps: 50
63
+ lora_alpha: 64
64
+ lora_dropout: 0.05
65
+ lora_fan_in_fan_out: null
66
+ lora_model_dir: null
67
+ lora_r: 32
68
+ lora_target_linear: true
69
+ lr_scheduler: constant
70
+ max_grad_norm: 1.0
71
+ max_memory:
72
+ 0: 75GB
73
+ max_steps: 17996
74
+ micro_batch_size: 4
75
+ mlflow_experiment_name: /tmp/f09a068a17c73549_train_data.json
76
+ model_type: AutoModelForCausalLM
77
+ num_epochs: 10
78
+ optim_args:
79
+ adam_beta1: 0.9
80
+ adam_beta2: 0.95
81
+ adam_epsilon: 1e-5
82
+ optimizer: adamw_bnb_8bit
83
+ output_dir: miner_id_24
84
+ pad_to_sequence_len: true
85
+ resume_from_checkpoint: null
86
+ s2_attention: null
87
+ sample_packing: false
88
+ save_steps: 300
89
+ saves_per_epoch: null
90
+ sequence_len: 512
91
+ strict: false
92
+ tf32: true
93
+ tokenizer_type: AutoTokenizer
94
+ train_on_inputs: false
95
+ trust_remote_code: true
96
+ val_set_size: 0.05
97
+ wandb_entity: null
98
+ wandb_mode: online
99
+ wandb_name: fb6671a1-3169-4044-b339-5b07d92c1691
100
+ wandb_project: SN56-15
101
+ wandb_run: your_name
102
+ wandb_runid: fb6671a1-3169-4044-b339-5b07d92c1691
103
+ warmup_steps: 50
104
+ weight_decay: 0.0
105
+ xformers_attention: null
106
+
107
+ ```
108
+
109
+ </details><br>
110
+
111
+ # 32c9118c-9ab2-462a-986b-cb14498ab6d6
112
+
113
+ This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the None dataset.
114
+ It achieves the following results on the evaluation set:
115
+ - Loss: 4.9687
116
+
117
+ ## Model description
118
+
119
+ More information needed
120
+
121
+ ## Intended uses & limitations
122
+
123
+ More information needed
124
+
125
+ ## Training and evaluation data
126
+
127
+ More information needed
128
+
129
+ ## Training procedure
130
+
131
+ ### Training hyperparameters
132
+
133
+ The following hyperparameters were used during training:
134
+ - learning_rate: 0.0002
135
+ - train_batch_size: 4
136
+ - eval_batch_size: 4
137
+ - seed: 42
138
+ - gradient_accumulation_steps: 4
139
+ - total_train_batch_size: 16
140
+ - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
141
+ - lr_scheduler_type: constant
142
+ - lr_scheduler_warmup_steps: 50
143
+ - training_steps: 17996
144
+
145
+ ### Training results
146
+
147
+ | Training Loss | Epoch | Step | Validation Loss |
148
+ |:-------------:|:------:|:----:|:---------------:|
149
+ | No log | 0.0003 | 1 | 5.0216 |
150
+ | 11.4064 | 0.0847 | 300 | 4.2782 |
151
+ | 11.3498 | 0.1695 | 600 | 4.2733 |
152
+ | 10.8428 | 0.2542 | 900 | 3.5935 |
153
+ | 10.9353 | 0.3390 | 1200 | 3.9772 |
154
+ | 11.1807 | 0.4237 | 1500 | 3.5348 |
155
+ | 11.3266 | 0.5085 | 1800 | 3.3175 |
156
+ | 10.7106 | 0.5932 | 2100 | 3.5059 |
157
+ | 10.5636 | 0.6780 | 2400 | 3.9275 |
158
+ | 10.635 | 0.7627 | 2700 | 4.9687 |
159
+
160
+
161
+ ### Framework versions
162
+
163
+ - PEFT 0.13.2
164
+ - Transformers 4.46.0
165
+ - Pytorch 2.5.0+cu124
166
+ - Datasets 3.0.1
167
+ - Tokenizers 0.20.1
adapter_config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "facebook/opt-350m",
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": 64,
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": 32,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "q_proj",
24
+ "fc2",
25
+ "project_in",
26
+ "project_out",
27
+ "k_proj",
28
+ "v_proj",
29
+ "out_proj",
30
+ "fc1"
31
+ ],
32
+ "task_type": "CAUSAL_LM",
33
+ "use_dora": false,
34
+ "use_rslora": false
35
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e1008aa24732d3e2b0c334abd9970bb72c9750025a75ee010625f77ce67d32ac
3
+ size 57122970
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ddc368bc6d359dc2f4e9725f2a7809533c50b88965dd52b64e0e57e48ea42edb
3
+ size 57056672
config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_attn_implementation_autoset": true,
3
+ "_name_or_path": "facebook/opt-350m",
4
+ "_remove_final_layer_norm": false,
5
+ "activation_dropout": 0.0,
6
+ "activation_function": "relu",
7
+ "architectures": [
8
+ "OPTForCausalLM"
9
+ ],
10
+ "attention_dropout": 0.0,
11
+ "bos_token_id": 2,
12
+ "do_layer_norm_before": false,
13
+ "dropout": 0.1,
14
+ "enable_bias": true,
15
+ "eos_token_id": 2,
16
+ "ffn_dim": 4096,
17
+ "hidden_size": 1024,
18
+ "init_std": 0.02,
19
+ "layer_norm_elementwise_affine": true,
20
+ "layerdrop": 0.0,
21
+ "max_position_embeddings": 2048,
22
+ "model_type": "opt",
23
+ "num_attention_heads": 16,
24
+ "num_hidden_layers": 24,
25
+ "pad_token_id": 1,
26
+ "prefix": "</s>",
27
+ "torch_dtype": "float16",
28
+ "transformers_version": "4.46.0",
29
+ "use_cache": false,
30
+ "vocab_size": 50272,
31
+ "word_embed_proj_dim": 512
32
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "</s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<pad>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "</s>",
25
+ "lstrip": false,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "1": {
6
+ "content": "<pad>",
7
+ "lstrip": false,
8
+ "normalized": true,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "2": {
14
+ "content": "</s>",
15
+ "lstrip": false,
16
+ "normalized": true,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ }
21
+ },
22
+ "bos_token": "</s>",
23
+ "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 %}",
24
+ "clean_up_tokenization_spaces": false,
25
+ "eos_token": "</s>",
26
+ "errors": "replace",
27
+ "model_max_length": 1000000000000000019884624838656,
28
+ "pad_token": "<pad>",
29
+ "tokenizer_class": "GPT2Tokenizer",
30
+ "unk_token": "</s>"
31
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cb934e2a0401da517ac2e5b632e111a6c91ef5d8f6053b8cd109a3927ad1e87f
3
+ size 6776
vocab.json ADDED
The diff for this file is too large to render. See raw diff