Sandiago21
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Commit
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End of training
Browse files- README.md +8 -9
- adapter_config.json +1 -1
- adapter_model.bin +1 -1
- special_tokens_map.json +11 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
- train_with_llm_answers.csv +0 -0
- training_args.bin +1 -1
README.md
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---
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language:
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- multilingual
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-
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base_model: mistralai/Mistral-7B-v0.1
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tags:
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- generated_from_trainer
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datasets:
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-
-
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model-index:
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- name: mistral-7b-llm-science-exam
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results: []
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# mistral-7b-llm-science-exam
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This model is a fine-tuned version of [
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type:
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- lr_scheduler_warmup_steps:
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- num_epochs: 1
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### Framework versions
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---
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language:
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- multilingual
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+
base_model: /kaggle/input/mistral-7b/Mistral-7B-v0.1
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tags:
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- generated_from_trainer
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datasets:
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+
- STEM
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model-index:
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- name: mistral-7b-llm-science-exam
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results: []
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# mistral-7b-llm-science-exam
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This model is a fine-tuned version of [/kaggle/input/mistral-7b/Mistral-7B-v0.1](https://huggingface.co//kaggle/input/mistral-7b/Mistral-7B-v0.1) on the llm-science-exam dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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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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- lr_scheduler_warmup_steps: 25
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- num_epochs: 1
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### Framework versions
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adapter_config.json
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{
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"auto_mapping": null,
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-
"base_model_name_or_path": "
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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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{
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"auto_mapping": null,
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"base_model_name_or_path": "/kaggle/input/mistral-7b/Mistral-7B-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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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 109097933
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3ea89ea4b4b01471867e342833f3182664bc5d9667c08cfd651220831cf2991
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size 109097933
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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"</s>"
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],
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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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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"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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"<unk>",
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"<s>",
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"</s>"
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],
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"bos_token": "<s>",
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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": null,
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"sp_model_kwargs": {},
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"spaces_between_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": true
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}
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train_with_llm_answers.csv
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 4091
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version https://git-lfs.github.com/spec/v1
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size 4091
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