End of training
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README.md
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- trl
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base_model: mistralai/Mistral-7B-v0.
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model-index:
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- name: Mistral-7B-Finetuning-Insurance
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results: []
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# Mistral-7B-Finetuning-Insurance
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.
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## Model description
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### Framework versions
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- PEFT 0.
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- Transformers 4.39.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- trl
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- sft
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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-Finetuning-Insurance
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results: []
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# Mistral-7B-Finetuning-Insurance
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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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## Model description
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### Framework versions
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- PEFT 0.10.1.dev0
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- Transformers 4.39.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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wandb/debug-internal.log
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wandb/debug.log
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2024-03-22 04:34:13,745 INFO MainThread:209 [wandb_run.py:_config_callback():1343] config_cb None None {'vocab_size': 32000, 'max_position_embeddings': 32768, 'hidden_size': 4096, 'intermediate_size': 14336, 'num_hidden_layers': 32, 'num_attention_heads': 32, 'sliding_window': None, 'num_key_value_heads': 8, 'hidden_act': 'silu', 'initializer_range': 0.02, 'rms_norm_eps': 1e-05, 'use_cache': False, 'rope_theta': 1000000.0, 'attention_dropout': 0.0, 'return_dict': True, 'output_hidden_states': False, 'output_attentions': False, 'torchscript': False, 'torch_dtype': 'bfloat16', 'use_bfloat16': False, 'tf_legacy_loss': False, 'pruned_heads': {}, 'tie_word_embeddings': False, 'chunk_size_feed_forward': 0, 'is_encoder_decoder': False, 'is_decoder': False, 'cross_attention_hidden_size': None, 'add_cross_attention': False, 'tie_encoder_decoder': False, 'max_length': 20, 'min_length': 0, 'do_sample': False, 'early_stopping': False, 'num_beams': 1, 'num_beam_groups': 1, 'diversity_penalty': 0.0, 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wandb/run-20240322_043407-hize5f4p/logs/debug.log
CHANGED
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