marianna13
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Browse files- README.md +61 -0
- all_results.json +8 -0
- config.json +27 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +0 -0
- train_results.json +8 -0
- trainer_log.jsonl +39 -0
- trainer_state.json +308 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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license: other
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base_model: mistralai/Mistral-7B-v0.3
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: oh-mistral-bs2048_lr2.00E-06_schedulercosine_with_min_lr_warmup1.00E-01_minlr5.00E-07
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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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# oh-mistral-bs2048_lr2.00E-06_schedulercosine_with_min_lr_warmup1.00E-01_minlr5.00E-07
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the mlfoundations-dev/oh-dcft-v3.1-gpt-4o-mini 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: 2e-06
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 128
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 2048
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- total_eval_batch_size: 1024
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine_with_min_lr
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3.0
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### Training results
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.5.0a0+b465a5843b.nv24.09
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- Datasets 3.0.2
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- Tokenizers 0.20.3
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all_results.json
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{
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"epoch": 3.0,
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"total_flos": 2589607581450240.0,
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"train_loss": 0.5680107090824335,
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"train_runtime": 5717.0554,
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"train_samples_per_second": 138.517,
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"train_steps_per_second": 0.068
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}
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config.json
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{
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"_name_or_path": "/p/data1/mmlaion/marianna/models/mistralai/Mistral-7B-v0.3",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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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": 1000000.0,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.1",
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"use_cache": false,
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"vocab_size": 32768
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}
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generation_config.json
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.46.1"
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}
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model-00001-of-00003.safetensors
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size 4949453792
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model.safetensors.index.json
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