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README.md
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---
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base_model: bigscience/bloomz-560m
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library_name: peft
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license: bigscience-bloom-rail-1.0
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: bloom_ts1
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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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# bloom_ts1
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This model is a fine-tuned version of [bigscience/bloomz-560m](https://huggingface.co/bigscience/bloomz-560m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.9558
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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: 1.41e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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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: 0.1
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- num_epochs: 5
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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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| 4.0922 | 1.0 | 25 | 4.5588 |
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| 4.8287 | 2.0 | 50 | 4.2458 |
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| 4.991 | 3.0 | 75 | 4.0713 |
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| 4.8733 | 4.0 | 100 | 3.9800 |
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| 4.6998 | 5.0 | 125 | 3.9558 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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