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: 2.7564
+- Loss: 2.6397
 
 ## 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: 300
+- training_steps: 400
 
 ### Training results
 
@@ -63,6 +63,10 @@ The following hyperparameters were used during training:
 | 2.9979        | 0.04  | 250  | 3.1210          |
 | 2.8613        | 0.04  | 275  | 3.0444          |
 | 2.8331        | 0.05  | 300  | 2.9912          |
+| 2.7972        | 0.05  | 325  | 2.9533          |
+| 2.6097        | 0.06  | 350  | 2.9186          |
+| 2.7506        | 0.06  | 375  | 2.8954          |
+| 2.7809        | 0.06  | 400  | 2.8744          |
 
 
 ### Framework versions

model-00001-of-00003.safetensors

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