End of training

README.md

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.0942
+- Loss: 3.6081
 
 ## Model description
 
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 - total_eval_batch_size: 8
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- training_steps: 100
+- training_steps: 200
 
 ### Training results
 
@@ -54,6 +54,10 @@ The following hyperparameters were used during training:
 | 7.7377        | 0.03  | 50   | 7.5825          |
 | 6.5903        | 0.05  | 75   | 6.3866          |
 | 5.4942        | 0.06  | 100  | 5.3487          |
+| 4.6502        | 0.08  | 125  | 4.6675          |
+| 4.2062        | 0.1   | 150  | 4.2042          |
+| 3.7988        | 0.11  | 175  | 3.8759          |
+| 3.5327        | 0.13  | 200  | 3.6560          |
 
 
 ### Framework versions

model-00001-of-00003.safetensors

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