Model save
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- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: mnoukhov/pythia410m-sft-tldr
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tags:
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- trl
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- reward-trainer
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: pythia410m-rm-tldr
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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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# pythia410m-rm-tldr
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This model is a fine-tuned version of [mnoukhov/pythia410m-sft-tldr](https://huggingface.co/mnoukhov/pythia410m-sft-tldr) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4313
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- Accuracy: 0.7928
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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-05
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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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- gradient_accumulation_steps: 8
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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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- num_epochs: 1
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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 | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.5145 | 0.2006 | 291 | 0.4726 | 0.7659 |
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| 0.4356 | 0.4011 | 582 | 0.4641 | 0.7730 |
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| 0.3823 | 0.6017 | 873 | 0.4456 | 0.7860 |
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| 0.3616 | 0.8022 | 1164 | 0.4313 | 0.7928 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 1415329032
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