Commit
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mistral models
Browse files- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/README.md +59 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/all_results.json +8 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/config.json +26 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/generation_config.json +6 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/model-00001-of-00003.safetensors +3 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/model-00002-of-00003.safetensors +3 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/model-00003-of-00003.safetensors +3 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/model.safetensors.index.json +298 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/special_tokens_map.json +24 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/tokenizer.json +0 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/tokenizer.model +3 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/tokenizer_config.json +42 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/train_results.json +8 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/trainer_state.json +660 -0
- ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/training_args.bin +3 -0
ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/README.md
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---
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license: apache-2.0
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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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- customized
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model-index:
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- name: ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0
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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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# ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the customized 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: 1e-06
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- train_batch_size: 50
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 400
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- total_eval_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.01
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- num_epochs: 1.0
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### Training results
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### Framework versions
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- Transformers 4.37.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/all_results.json
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{
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"epoch": 1.0,
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"train_loss": 1.1302242176873343,
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"train_runtime": 3134.3058,
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"train_samples": 41637,
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"train_samples_per_second": 13.284,
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"train_steps_per_second": 0.034
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}
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ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/config.json
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"architectures": [
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"MistralForCausalLM"
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.37.0.dev0",
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"use_cache": true,
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"vocab_size": 32000
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}
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ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/generation_config.json
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ft_mistral-7B_adamw_gpt4_v2_1e-6_base_0/model-00001-of-00003.safetensors
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