Update README.md

README.md

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----
-base_model: ChaiML/reward_models_100_170000000_cp_498032
-tags:
-- generated_from_trainer
-model-index:
-- name: reward-model
-  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. -->
-
-# reward-model
-
-This model is a fine-tuned version of [ChaiML/reward_models_100_170000000_cp_498032](https://huggingface.co/ChaiML/reward_models_100_170000000_cp_498032) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.6433
-
-## 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-06
-- train_batch_size: 16
-- eval_batch_size: 16
-- seed: 7
-- gradient_accumulation_steps: 16
-- total_train_batch_size: 256
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 200
-- num_epochs: 1
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.6589        | 0.68  | 200  | 0.6433          |
-
-
-### Framework versions
-
-- Transformers 4.34.1
-- Pytorch 2.0.1+cu117
-- Datasets 2.14.6
-- Tokenizers 0.14.1