End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5787
+- Loss: 2.5409
 
 ## Model description
 
@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
 - total_eval_batch_size: 4
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 500
+- training_steps: 600
 
 ### Training results
 
@@ -71,6 +71,10 @@ The following hyperparameters were used during training:
 | 2.6997        | 0.07  | 450  | 2.8420          |
 | 2.5839        | 0.08  | 475  | 2.8263          |
 | 2.6435        | 0.08  | 500  | 2.8170          |
+| 2.7207        | 0.08  | 525  | 2.8085          |
+| 2.6248        | 0.09  | 550  | 2.7985          |
+| 2.7277        | 0.09  | 575  | 2.7876          |
+| 2.5448        | 0.1   | 600  | 2.7807          |
 
 
 ### Framework versions

model-00001-of-00003.safetensors

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