vermoney commited on
Commit
022519b
·
verified ·
1 Parent(s): c0e4c0e

End of training

Browse files
README.md ADDED
@@ -0,0 +1,156 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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: c27b9df4-f2b4-4328-b2db-c5d15b35e156
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: true
24
+ chat_template: llama3
25
+ dataset_prepared_path: null
26
+ datasets:
27
+ - data_files:
28
+ - 5a111a5588b9841f_train_data.json
29
+ ds_type: json
30
+ format: custom
31
+ path: /workspace/input_data/
32
+ type:
33
+ field_instruction: input
34
+ field_output: reference_answer
35
+ format: '{instruction}'
36
+ no_input_format: '{instruction}'
37
+ system_format: '{system}'
38
+ system_prompt: ''
39
+ debug: null
40
+ deepspeed: null
41
+ dpo:
42
+ beta: 0.1
43
+ enabled: true
44
+ group_by_length: false
45
+ rank_loss: true
46
+ reference_model: null
47
+ early_stopping_patience: null
48
+ eval_max_new_tokens: 128
49
+ eval_table_size: null
50
+ evals_per_epoch: 1
51
+ flash_attention: true
52
+ fp16: false
53
+ fsdp: null
54
+ fsdp_config: null
55
+ gradient_accumulation_steps: 2
56
+ gradient_checkpointing: true
57
+ gradient_clipping: 1.0
58
+ group_by_length: false
59
+ hub_model_id: vermoney/c27b9df4-f2b4-4328-b2db-c5d15b35e156
60
+ hub_repo: null
61
+ hub_strategy: end
62
+ hub_token: null
63
+ learning_rate: 2.0e-06
64
+ load_in_4bit: true
65
+ load_in_8bit: false
66
+ local_rank: null
67
+ logging_steps: 1
68
+ lora_alpha: 64
69
+ lora_dropout: 0.1
70
+ lora_fan_in_fan_out: null
71
+ lora_model_dir: null
72
+ lora_r: 32
73
+ lora_target_linear: true
74
+ lr_scheduler: cosine
75
+ max_steps: 400
76
+ micro_batch_size: 8
77
+ mixed_precision: bf16
78
+ mlflow_experiment_name: /tmp/5a111a5588b9841f_train_data.json
79
+ model_type: AutoModelForCausalLM
80
+ num_epochs: 1
81
+ optimizer: adamw_bnb_8bit
82
+ output_dir: miner_id_24
83
+ pad_to_sequence_len: true
84
+ resume_from_checkpoint: null
85
+ s2_attention: null
86
+ sample_packing: false
87
+ saves_per_epoch: 1
88
+ sequence_len: 1024
89
+ strict: false
90
+ tf32: false
91
+ tokenizer_type: AutoTokenizer
92
+ train_on_inputs: false
93
+ trust_remote_code: true
94
+ val_set_size: 0.05
95
+ wandb_entity: null
96
+ wandb_mode: online
97
+ wandb_name: 48ae5387-68f0-4299-8070-c4d98e834fdc
98
+ wandb_project: s56-9
99
+ wandb_run: your_name
100
+ wandb_runid: 48ae5387-68f0-4299-8070-c4d98e834fdc
101
+ warmup_steps: 40
102
+ weight_decay: 0.01
103
+ xformers_attention: false
104
+
105
+ ```
106
+
107
+ </details><br>
108
+
109
+ # c27b9df4-f2b4-4328-b2db-c5d15b35e156
110
+
111
+ This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the None dataset.
112
+ It achieves the following results on the evaluation set:
113
+ - Loss: 2.3517
114
+
115
+ ## Model description
116
+
117
+ More information needed
118
+
119
+ ## Intended uses & limitations
120
+
121
+ More information needed
122
+
123
+ ## Training and evaluation data
124
+
125
+ More information needed
126
+
127
+ ## Training procedure
128
+
129
+ ### Training hyperparameters
130
+
131
+ The following hyperparameters were used during training:
132
+ - learning_rate: 2e-06
133
+ - train_batch_size: 8
134
+ - eval_batch_size: 8
135
+ - seed: 42
136
+ - gradient_accumulation_steps: 2
137
+ - total_train_batch_size: 16
138
+ - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
139
+ - lr_scheduler_type: cosine
140
+ - lr_scheduler_warmup_steps: 40
141
+ - training_steps: 400
142
+
143
+ ### Training results
144
+
145
+ | Training Loss | Epoch | Step | Validation Loss |
146
+ |:-------------:|:------:|:----:|:---------------:|
147
+ | 4.7085 | 0.0892 | 400 | 2.3517 |
148
+
149
+
150
+ ### Framework versions
151
+
152
+ - PEFT 0.13.2
153
+ - Transformers 4.46.0
154
+ - Pytorch 2.5.0+cu124
155
+ - Datasets 3.0.1
156
+ - 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": 0.1,
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
+ "fc2",
24
+ "project_in",
25
+ "fc1",
26
+ "q_proj",
27
+ "k_proj",
28
+ "out_proj",
29
+ "project_out",
30
+ "v_proj"
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:c54296781801856e3d4c54133d4402e8cc84b36039b37d04019d38f611d75db3
3
+ size 57122970
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:df09be9952536a74574155368b1793c2afc1a5a7ac60d484462b7cbf899e3d25
3
+ size 57056672
config.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "quantization_config": {
28
+ "_load_in_4bit": true,
29
+ "_load_in_8bit": false,
30
+ "bnb_4bit_compute_dtype": "float32",
31
+ "bnb_4bit_quant_storage": "uint8",
32
+ "bnb_4bit_quant_type": "fp4",
33
+ "bnb_4bit_use_double_quant": false,
34
+ "llm_int8_enable_fp32_cpu_offload": false,
35
+ "llm_int8_has_fp16_weight": false,
36
+ "llm_int8_skip_modules": null,
37
+ "llm_int8_threshold": 6.0,
38
+ "load_in_4bit": true,
39
+ "load_in_8bit": false,
40
+ "quant_method": "bitsandbytes"
41
+ },
42
+ "torch_dtype": "float16",
43
+ "transformers_version": "4.46.0",
44
+ "use_cache": false,
45
+ "vocab_size": 50272,
46
+ "word_embed_proj_dim": 512
47
+ }
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 sha256:7687630d889a0181aff7c3202dd5b619dc1bb9632eec5181ade1b408836ddb20
3
+ size 6776
vocab.json ADDED
The diff for this file is too large to render. See raw diff