End of training
Browse files- README.md +8 -9
- adapter_config.json +1 -1
- adapter_model.safetensors +1 -1
- tokenizer.json +0 -0
- tokenizer_config.json +1 -2
- training_args.bin +1 -1
README.md
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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model-index:
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- name: mistral-7b-
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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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# mistral-7b-
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size:
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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: 32
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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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-
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### Training results
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### Framework versions
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- PEFT 0.
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- Transformers 4.
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- Pytorch 2.1.2
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-Instruct-v0.2
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model-index:
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- name: mistral-7b-ua-gec
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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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+
# mistral-7b-ua-gec
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 4
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- eval_batch_size: 8
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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: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 1
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### Training results
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### Framework versions
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- PEFT 0.10.1.dev0
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- Transformers 4.40.0.dev0
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- Pytorch 2.1.2
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- Datasets 2.16.0
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- Tokenizers 0.15.0
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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": "/
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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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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
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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.safetensors
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tokenizer.json
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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,
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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"padding_side": "
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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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{
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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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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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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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"tokenizer_class": "LlamaTokenizer",
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training_args.bin
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