Upload folder using huggingface_hub
Browse files- .ipynb_checkpoints/README-checkpoint.md +59 -0
- .ipynb_checkpoints/all_results-checkpoint.json +7 -0
- .ipynb_checkpoints/tokenizer_config-checkpoint.json +45 -0
- README.md +57 -1
- adapter_config.json +27 -0
- adapter_model.safetensors +3 -0
- all_results.json +7 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +45 -0
- train_results.json +7 -0
- trainer_log.jsonl +1 -0
- trainer_state.json +30 -0
- training_args.bin +3 -0
.ipynb_checkpoints/README-checkpoint.md
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---
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license: other
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library_name: peft
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tags:
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- llama-factory
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- lora
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- generated_from_trainer
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base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
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model-index:
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- name: train_2024-02-15-06-06-50
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# train_2024-02-15-06-06-50
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This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on the 3_line dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 3.0
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.8.2
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- Transformers 4.37.2
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- Pytorch 2.2.0+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.2
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.ipynb_checkpoints/all_results-checkpoint.json
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{
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"epoch": 3.0,
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"train_loss": 2.5641048749287925,
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"train_runtime": 12.0811,
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"train_samples_per_second": 0.497,
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"train_steps_per_second": 0.248
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}
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.ipynb_checkpoints/tokenizer_config-checkpoint.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "</s>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"split_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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README.md
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---
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-
license:
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---
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---
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license: other
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library_name: peft
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tags:
|
5 |
+
- llama-factory
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6 |
+
- lora
|
7 |
+
- generated_from_trainer
|
8 |
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base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
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9 |
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model-index:
|
10 |
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- name: train_2024-02-15-06-06-50
|
11 |
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results: []
|
12 |
---
|
13 |
+
|
14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
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+
should probably proofread and complete it, then remove this comment. -->
|
16 |
+
|
17 |
+
# train_2024-02-15-06-06-50
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on the 3_line dataset.
|
20 |
+
|
21 |
+
## Model description
|
22 |
+
|
23 |
+
More information needed
|
24 |
+
|
25 |
+
## Intended uses & limitations
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Training and evaluation data
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training procedure
|
34 |
+
|
35 |
+
### Training hyperparameters
|
36 |
+
|
37 |
+
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 5e-05
|
39 |
+
- train_batch_size: 1
|
40 |
+
- eval_batch_size: 8
|
41 |
+
- seed: 42
|
42 |
+
- gradient_accumulation_steps: 4
|
43 |
+
- total_train_batch_size: 4
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: cosine
|
46 |
+
- num_epochs: 3.0
|
47 |
+
- mixed_precision_training: Native AMP
|
48 |
+
|
49 |
+
### Training results
|
50 |
+
|
51 |
+
|
52 |
+
|
53 |
+
### Framework versions
|
54 |
+
|
55 |
+
- PEFT 0.8.2
|
56 |
+
- Transformers 4.37.2
|
57 |
+
- Pytorch 2.2.0+cu121
|
58 |
+
- Datasets 2.17.0
|
59 |
+
- Tokenizers 0.15.2
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "mistralai/Mixtral-8x7B-Instruct-v0.1",
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"bias": "none",
|
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"fan_in_fan_out": false,
|
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"inference_mode": true,
|
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
|
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+
"lora_alpha": 16,
|
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+
"lora_dropout": 0.1,
|
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+
"megatron_config": null,
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"megatron_core": "megatron.core",
|
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
|
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"task_type": "CAUSAL_LM",
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8351c1feea9e199e631acfdeda8516363000cb9afe0889cf21cc4e2f26b32bbf
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size 13648432
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all_results.json
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{
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"epoch": 3.0,
|
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+
"train_loss": 2.5641048749287925,
|
4 |
+
"train_runtime": 12.0811,
|
5 |
+
"train_samples_per_second": 0.497,
|
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+
"train_steps_per_second": 0.248
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
|
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"single_word": false
|
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},
|
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"pad_token": "</s>",
|
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"unk_token": {
|
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"content": "<unk>",
|
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"lstrip": false,
|
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
|
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}
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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size 493443
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tokenizer_config.json
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{
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"add_bos_token": true,
|
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"add_eos_token": false,
|
4 |
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"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
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"content": "<unk>",
|
7 |
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"lstrip": false,
|
8 |
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false,
|
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"special": true
|
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},
|
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"1": {
|
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"content": "<s>",
|
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"lstrip": false,
|
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"normalized": false,
|
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"rstrip": false,
|
18 |
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"single_word": false,
|
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"special": true
|
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},
|
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"2": {
|
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"content": "</s>",
|
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"lstrip": false,
|
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"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
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"special": true
|
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}
|
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},
|
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+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 1000000000000000019884624838656,
|
37 |
+
"pad_token": "</s>",
|
38 |
+
"padding_side": "right",
|
39 |
+
"sp_model_kwargs": {},
|
40 |
+
"spaces_between_special_tokens": false,
|
41 |
+
"split_special_tokens": false,
|
42 |
+
"tokenizer_class": "LlamaTokenizer",
|
43 |
+
"unk_token": "<unk>",
|
44 |
+
"use_default_system_prompt": false
|
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}
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train_results.json
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{
|
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"epoch": 3.0,
|
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+
"train_loss": 2.5641048749287925,
|
4 |
+
"train_runtime": 12.0811,
|
5 |
+
"train_samples_per_second": 0.497,
|
6 |
+
"train_steps_per_second": 0.248
|
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+
}
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trainer_log.jsonl
ADDED
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+
{"current_steps": 3, "total_steps": 3, "loss": null, "eval_loss": null, "predict_loss": null, "reward": null, "learning_rate": null, "epoch": 3.0, "percentage": 100.0, "elapsed_time": "0:00:12", "remaining_time": "0:00:00"}
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trainer_state.json
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|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
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"best_metric": null,
|
3 |
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"best_model_checkpoint": null,
|
4 |
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"epoch": 3.0,
|
5 |
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|
6 |
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"global_step": 3,
|
7 |
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"is_hyper_param_search": false,
|
8 |
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"is_local_process_zero": true,
|
9 |
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"is_world_process_zero": true,
|
10 |
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|
11 |
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{
|
12 |
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|
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|
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|
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|
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}
|
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|
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|
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|
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|
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|
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|
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|
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|
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"trial_name": null,
|
29 |
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|
30 |
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}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:44486cd9e50b796ac0d1bb1477d77d2392f2a98b1af93289ea42910f94c353a3
|
3 |
+
size 4920
|