sergioalves commited on
Commit
fb85d76
·
verified ·
1 Parent(s): 3641cb9

End of training

Browse files
README.md ADDED
@@ -0,0 +1,159 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ base_model: jhflow/mistral7b-lora-multi-turn-v2
4
+ tags:
5
+ - axolotl
6
+ - generated_from_trainer
7
+ model-index:
8
+ - name: a2dfcb0e-4bb8-4ba5-b2ab-8ca8bb18ba06
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ [<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)
16
+ <details><summary>See axolotl config</summary>
17
+
18
+ axolotl version: `0.4.1`
19
+ ```yaml
20
+ absolute_data_files: false
21
+ adapter: lora
22
+ base_model: jhflow/mistral7b-lora-multi-turn-v2
23
+ bf16: true
24
+ chat_template: llama3
25
+ dataset_prepared_path: /workspace/axolotl
26
+ datasets:
27
+ - data_files:
28
+ - 073ecb803828cfed_train_data.json
29
+ ds_type: json
30
+ format: custom
31
+ path: /workspace/input_data/
32
+ type:
33
+ field_input: input
34
+ field_instruction: instruct
35
+ field_output: output
36
+ format: '{instruction} {input}'
37
+ no_input_format: '{instruction}'
38
+ system_format: '{system}'
39
+ system_prompt: ''
40
+ debug: null
41
+ deepspeed: null
42
+ dpo:
43
+ beta: 0.1
44
+ enabled: true
45
+ group_by_length: false
46
+ rank_loss: true
47
+ reference_model: null
48
+ early_stopping_patience: null
49
+ eval_max_new_tokens: 128
50
+ eval_table_size: null
51
+ evals_per_epoch: 1
52
+ flash_attention: true
53
+ fp16: null
54
+ fsdp: null
55
+ fsdp_config: null
56
+ gradient_accumulation_steps: 4
57
+ gradient_checkpointing: true
58
+ gradient_clipping: 0.8
59
+ group_by_length: false
60
+ hub_model_id: sergioalves/a2dfcb0e-4bb8-4ba5-b2ab-8ca8bb18ba06
61
+ hub_repo: null
62
+ hub_strategy: end
63
+ hub_token: null
64
+ learning_rate: 5.0e-07
65
+ load_in_4bit: true
66
+ load_in_8bit: false
67
+ local_rank: null
68
+ logging_steps: 1
69
+ lora_alpha: 32
70
+ lora_dropout: 0.3
71
+ lora_fan_in_fan_out: null
72
+ lora_model_dir: null
73
+ lora_r: 16
74
+ lora_target_linear: true
75
+ lr_scheduler: cosine
76
+ max_steps: 300
77
+ micro_batch_size: 8
78
+ mixed_precision: bf16
79
+ mlflow_experiment_name: /tmp/073ecb803828cfed_train_data.json
80
+ model_type: AutoModelForCausalLM
81
+ num_epochs: 2
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
+ saves_per_epoch: 1
89
+ sequence_len: 1024
90
+ strict: false
91
+ tf32: false
92
+ tokenizer_type: AutoTokenizer
93
+ train_on_inputs: false
94
+ trust_remote_code: true
95
+ val_set_size: 0.05
96
+ wandb_entity: null
97
+ wandb_mode: online
98
+ wandb_name: 589dc2a5-c919-4731-be25-e0afc45a1708
99
+ wandb_project: s56-7
100
+ wandb_run: your_name
101
+ wandb_runid: 589dc2a5-c919-4731-be25-e0afc45a1708
102
+ warmup_steps: 30
103
+ weight_decay: 0.05
104
+ xformers_attention: true
105
+
106
+ ```
107
+
108
+ </details><br>
109
+
110
+ # a2dfcb0e-4bb8-4ba5-b2ab-8ca8bb18ba06
111
+
112
+ This model is a fine-tuned version of [jhflow/mistral7b-lora-multi-turn-v2](https://huggingface.co/jhflow/mistral7b-lora-multi-turn-v2) on the None dataset.
113
+ It achieves the following results on the evaluation set:
114
+ - Loss: 0.8607
115
+
116
+ ## Model description
117
+
118
+ More information needed
119
+
120
+ ## Intended uses & limitations
121
+
122
+ More information needed
123
+
124
+ ## Training and evaluation data
125
+
126
+ More information needed
127
+
128
+ ## Training procedure
129
+
130
+ ### Training hyperparameters
131
+
132
+ The following hyperparameters were used during training:
133
+ - learning_rate: 5e-07
134
+ - train_batch_size: 8
135
+ - eval_batch_size: 8
136
+ - seed: 42
137
+ - gradient_accumulation_steps: 4
138
+ - total_train_batch_size: 32
139
+ - optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
140
+ - lr_scheduler_type: cosine
141
+ - lr_scheduler_warmup_steps: 30
142
+ - training_steps: 300
143
+
144
+ ### Training results
145
+
146
+ | Training Loss | Epoch | Step | Validation Loss |
147
+ |:-------------:|:------:|:----:|:---------------:|
148
+ | 3.3035 | 0.0001 | 1 | 0.8818 |
149
+ | 3.5662 | 0.0083 | 150 | 0.8665 |
150
+ | 2.9006 | 0.0165 | 300 | 0.8607 |
151
+
152
+
153
+ ### Framework versions
154
+
155
+ - PEFT 0.13.2
156
+ - Transformers 4.46.0
157
+ - Pytorch 2.5.0+cu124
158
+ - Datasets 3.0.1
159
+ - Tokenizers 0.20.1
adapter_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "jhflow/mistral7b-lora-multi-turn-v2",
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": 32,
14
+ "lora_dropout": 0.3,
15
+ "megatron_config": null,
16
+ "megatron_core": "megatron.core",
17
+ "modules_to_save": null,
18
+ "peft_type": "LORA",
19
+ "r": 16,
20
+ "rank_pattern": {},
21
+ "revision": null,
22
+ "target_modules": [
23
+ "gate_proj",
24
+ "k_proj",
25
+ "q_proj",
26
+ "down_proj",
27
+ "v_proj",
28
+ "up_proj",
29
+ "o_proj"
30
+ ],
31
+ "task_type": "CAUSAL_LM",
32
+ "use_dora": false,
33
+ "use_rslora": false
34
+ }
adapter_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:afbd60ffc03fb5ed403bada8a5ae2d1b91876b3780493148356775578728fdb3
3
+ size 167934026
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8379eb1ffaca79629d55fb91c0f2344e0fb3e96b4982ac00f9529aa5ea0fc594
3
+ size 167832240
added_tokens.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "<|im_end|>": 32000,
3
+ "<|im_start|>": 32001
4
+ }
config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_attn_implementation_autoset": true,
3
+ "_name_or_path": "jhflow/mistral7b-lora-multi-turn-v2",
4
+ "architectures": [
5
+ "MistralForCausalLM"
6
+ ],
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "eos_token_id": 32000,
10
+ "head_dim": 128,
11
+ "hidden_act": "silu",
12
+ "hidden_size": 4096,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 14336,
15
+ "max_position_embeddings": 32768,
16
+ "model_type": "mistral",
17
+ "num_attention_heads": 32,
18
+ "num_hidden_layers": 32,
19
+ "num_key_value_heads": 8,
20
+ "quantization_config": {
21
+ "_load_in_4bit": true,
22
+ "_load_in_8bit": false,
23
+ "bnb_4bit_compute_dtype": "float32",
24
+ "bnb_4bit_quant_storage": "uint8",
25
+ "bnb_4bit_quant_type": "fp4",
26
+ "bnb_4bit_use_double_quant": false,
27
+ "llm_int8_enable_fp32_cpu_offload": false,
28
+ "llm_int8_has_fp16_weight": false,
29
+ "llm_int8_skip_modules": null,
30
+ "llm_int8_threshold": 6.0,
31
+ "load_in_4bit": true,
32
+ "load_in_8bit": false,
33
+ "quant_method": "bitsandbytes"
34
+ },
35
+ "rms_norm_eps": 1e-05,
36
+ "rope_theta": 10000.0,
37
+ "sliding_window": 4096,
38
+ "tie_word_embeddings": false,
39
+ "torch_dtype": "bfloat16",
40
+ "transformers_version": "4.46.0",
41
+ "use_cache": false,
42
+ "vocab_size": 32002
43
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": true,
5
+ "normalized": false,
6
+ "rstrip": true,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|im_end|>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<unk>",
18
+ "lstrip": true,
19
+ "normalized": false,
20
+ "rstrip": true,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": true,
26
+ "normalized": false,
27
+ "rstrip": true,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
tokenizer_config.json ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": null,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": true,
9
+ "normalized": false,
10
+ "rstrip": true,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": true,
17
+ "normalized": false,
18
+ "rstrip": true,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "32000": {
31
+ "content": "<|im_end|>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ },
38
+ "32001": {
39
+ "content": "<|im_start|>",
40
+ "lstrip": true,
41
+ "normalized": false,
42
+ "rstrip": true,
43
+ "single_word": false,
44
+ "special": true
45
+ }
46
+ },
47
+ "additional_special_tokens": [],
48
+ "bos_token": "<s>",
49
+ "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 %}",
50
+ "clean_up_tokenization_spaces": false,
51
+ "eos_token": "<|im_end|>",
52
+ "legacy": true,
53
+ "max_length": 4096,
54
+ "model_max_length": 1000000000000000019884624838656,
55
+ "pad_token": "<unk>",
56
+ "sp_model_kwargs": {},
57
+ "spaces_between_special_tokens": false,
58
+ "stride": 0,
59
+ "tokenizer_class": "LlamaTokenizer",
60
+ "truncation_side": "right",
61
+ "truncation_strategy": "longest_first",
62
+ "trust_remote_code": false,
63
+ "unk_token": "<unk>",
64
+ "use_default_system_prompt": false,
65
+ "use_fast": true
66
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1659b6d2b7118790986804bf6beb9604123e3c4fcad961fd73b9b924ad593f3e
3
+ size 6776