Model save
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README.md
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---
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license: apache-2.0
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base_model: distilroberta-base
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tags:
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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: reward_model
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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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# reward_model
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7183
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- Accuracy: 0.45
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 8
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- seed: 42
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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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- training_steps: 500
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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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| No log | 0.01 | 50 | 0.6941 | 0.49 |
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| No log | 0.02 | 100 | 0.7068 | 0.44 |
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| No log | 0.03 | 150 | 0.6991 | 0.47 |
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| No log | 0.04 | 200 | 0.6954 | 0.5 |
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| No log | 0.05 | 250 | 0.6957 | 0.55 |
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| No log | 0.06 | 300 | 0.6958 | 0.5 |
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| No log | 0.07 | 350 | 0.7203 | 0.45 |
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| No log | 0.08 | 400 | 0.7129 | 0.47 |
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| No log | 0.09 | 450 | 0.7197 | 0.45 |
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| 0.6877 | 0.1 | 500 | 0.7183 | 0.45 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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runs/Feb04_22-01-22_e60aa771cf9b/events.out.tfevents.1707084172.e60aa771cf9b.2395.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:906d2f5f4b35e61149c84c1ae2294da9c70ad31b5e48c9550bb9fbb03ab8d7fc
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size 8158
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