anhnv125/reward-model

README.md

@@ -0,0 +1,74 @@
+---
+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: 0.5733
+
+## 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: 3
+- eval_batch_size: 3
+- seed: 7
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 48
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 200
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5918        | 0.12  | 200  | 0.6011          |
+| 0.5998        | 0.24  | 400  | 0.5911          |
+| 0.59          | 0.36  | 600  | 0.5863          |
+| 0.585         | 0.49  | 800  | 0.5823          |
+| 0.5646        | 0.61  | 1000 | 0.5803          |
+| 0.6048        | 0.73  | 1200 | 0.5773          |
+| 0.6041        | 0.85  | 1400 | 0.5784          |
+| 0.5694        | 0.97  | 1600 | 0.5747          |
+| 0.5855        | 1.09  | 1800 | 0.5767          |
+| 0.5764        | 1.22  | 2000 | 0.5764          |
+| 0.5606        | 1.34  | 2200 | 0.5799          |
+| 0.5583        | 1.46  | 2400 | 0.5778          |
+| 0.5656        | 1.58  | 2600 | 0.5731          |
+| 0.5812        | 1.7   | 2800 | 0.5747          |
+| 0.5911        | 1.82  | 3000 | 0.5731          |
+| 0.5771        | 1.94  | 3200 | 0.5733          |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.0.1+cu117
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

@@ -35,7 +35,7 @@
     }
   },
   "torch_dtype": "float32",
-  "transformers_version": "4.34.1",
+  "transformers_version": "4.36.0.dev0",
   "use_cache": true,
   "vocab_size": 50257
 }

model.safetensors

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 size 497780432

training_args.bin

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