End of training
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README.md
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---
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license: apache-2.0
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base_model: bn22/Mistral-7B-Instruct-v0.1-sharded
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tags:
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- generated_from_trainer
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model-index:
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- name: outputs
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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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# outputs
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This model is a fine-tuned version of [bn22/Mistral-7B-Instruct-v0.1-sharded](https://huggingface.co/bn22/Mistral-7B-Instruct-v0.1-sharded) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4588
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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: 0.0002
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- train_batch_size: 16
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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: 64
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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_ratio: 0.05
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- num_epochs: 20
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.6538 | 5.71 | 10 | 1.6288 |
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| 1.3789 | 11.43 | 20 | 1.4588 |
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### Framework versions
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- Transformers 4.36.0.dev0
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- Pytorch 2.1.0+cu121
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- Datasets 2.15.0
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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": "bn22/Mistral-7B-Instruct-v0.1-sharded",
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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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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f15bf7120b945ec3bf8f42bed6fdd0b9b1c4453a065f684a37828e4e0e0977f1
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size 27280152
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runs/Dec01_06-34-19_6d678263285c/events.out.tfevents.1701412460.6d678263285c.161.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2b5ae47bd74e3c50838a833ba5d012edd09e0fe2ac5acb900e56f269d52db335
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size 8647
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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:e162daaf1b9179a328ad43c02b813a355f004d94ec98116b251f4290edc6bc4e
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size 4664
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