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--- |
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license: apache-2.0 |
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base_model: mnoukhov/pythia160m-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: pythia160m-rm-tldr6.9b |
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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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# pythia160m-rm-tldr6.9b |
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This model is a fine-tuned version of [mnoukhov/pythia160m-sft-tldr](https://huggingface.co/mnoukhov/pythia160m-sft-tldr) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5486 |
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- Accuracy: 0.7121 |
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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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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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- total_eval_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: cosine |
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- num_epochs: 1 |
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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 | 0.2012 | 73 | 0.5667 | 0.6998 | |
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| 0.6204 | 0.4025 | 146 | 0.5560 | 0.7120 | |
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| 0.5593 | 0.6037 | 219 | 0.5532 | 0.7078 | |
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| 0.5593 | 0.8050 | 292 | 0.5486 | 0.7121 | |
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### Framework versions |
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- Transformers 4.41.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
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