Model save
Browse files- README.md +71 -0
- 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/pythia1b-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: pythia1b-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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# pythia1b-rm-tldr6.9b
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This model is a fine-tuned version of [mnoukhov/pythia1b-sft-tldr](https://huggingface.co/mnoukhov/pythia1b-sft-tldr) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4685
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- Accuracy: 0.7693
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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: 4
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- eval_batch_size: 4
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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: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 16
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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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| 0.5365 | 0.2006 | 291 | 0.5420 | 0.7271 |
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| 0.4521 | 0.4011 | 582 | 0.5034 | 0.7485 |
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| 0.3994 | 0.6017 | 873 | 0.4893 | 0.7577 |
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| 0.3596 | 0.8022 | 1164 | 0.4685 | 0.7693 |
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1817545048
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version https://git-lfs.github.com/spec/v1
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oid sha256:a9fc05d2f443b6f162e8b0b74c93a075f87bff7ca25372c9da6d88cea6a08e30
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size 1817545048
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