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Training completed
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README.md
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---
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base_model: openaccess-ai-collective/tiny-mistral
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library_name: peft
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tags:
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- generated_from_trainer
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model-index:
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- name: tiny-mistral-alpaca-finance
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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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# tiny-mistral-alpaca-finance
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This model is a fine-tuned version of [openaccess-ai-collective/tiny-mistral](https://huggingface.co/openaccess-ai-collective/tiny-mistral) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7193
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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: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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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: linear
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 2
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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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| 1.314 | 0.2580 | 500 | 1.3183 |
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| 1.1295 | 0.5160 | 1000 | 1.1272 |
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| 0.9904 | 0.7739 | 1500 | 0.9971 |
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| 0.7174 | 1.0319 | 2000 | 0.8927 |
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| 0.6941 | 1.2899 | 2500 | 0.8219 |
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| 0.6406 | 1.5479 | 3000 | 0.7606 |
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| 0.6001 | 1.8059 | 3500 | 0.7193 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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runs/Jul29_14-03-36_1ba73b5861ec/events.out.tfevents.1722261845.1ba73b5861ec.800.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 23459
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