Model save

README.md

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+---
+license: apache-2.0
+base_model: mnoukhov/pythia2.8b-sft-tldr
+tags:
+- trl
+- reward-trainer
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: pythia2.8b-rm-tldr6.9b
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# pythia2.8b-rm-tldr6.9b
+
+This model is a fine-tuned version of [mnoukhov/pythia2.8b-sft-tldr](https://huggingface.co/mnoukhov/pythia2.8b-sft-tldr) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3979
+- Accuracy: 0.8129
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.5048        | 0.2006 | 291  | 0.4736          | 0.7684   |
+| 0.4188        | 0.4011 | 582  | 0.4287          | 0.7951   |
+| 0.3628        | 0.6017 | 873  | 0.4141          | 0.8028   |
+| 0.3203        | 0.8022 | 1164 | 0.3979          | 0.8129   |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

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