End of training

README.md

@@ -5,8 +5,6 @@ tags:
 - trl
 - reward-trainer
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: reward_modeling_anthropic_hh
   results: []
@@ -18,9 +16,6 @@ should probably proofread and complete it, then remove this comment. -->
 # reward_modeling_anthropic_hh
 
 This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5979
-- Accuracy: 0.6640
 
 ## Model description
 
@@ -39,24 +34,16 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1.41e-05
-- train_batch_size: 16
+- learning_rate: 5e-05
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
-- distributed_type: multi-GPU
-- num_devices: 8
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 256
-- total_eval_batch_size: 64
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1.0
+- training_steps: 100
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.6111        | 0.8696 | 500  | 0.5979          | 0.6640   |
 
 
 ### Framework versions

model.safetensors

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 size 1324833016

training_args.bin

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