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: 2.1122
+- Loss: 2.1110
 
 ## 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: 1000
+- training_steps: 1100
 
 ### Training results
 
@@ -91,6 +91,10 @@ The following hyperparameters were used during training:
 | 2.2604        | 0.15  | 950  | 2.3858          |
 | 2.1929        | 0.16  | 975  | 2.3847          |
 | 2.2353        | 0.16  | 1000 | 2.3841          |
+| 2.2409        | 0.16  | 1025 | 2.3825          |
+| 2.237         | 0.17  | 1050 | 2.3805          |
+| 2.28          | 0.17  | 1075 | 2.3806          |
+| 2.209         | 0.18  | 1100 | 2.3802          |
 
 
 ### Framework versions

model-00001-of-00003.safetensors

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