End of training

README.md

@@ -14,12 +14,12 @@ 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:
-- eval_loss: 0.4758
-- eval_runtime: 137.9933
-- eval_samples_per_second: 6.08
-- eval_steps_per_second: 0.761
-- epoch: 1.32
-- step: 2500
+- eval_loss: 0.4542
+- eval_runtime: 138.127
+- eval_samples_per_second: 6.074
+- eval_steps_per_second: 0.76
+- epoch: 1.59
+- step: 3000
 
 ## Model description
 
@@ -51,5 +51,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu118
-- Datasets 2.14.7
+- Datasets 2.15.0
 - Tokenizers 0.15.0

adapter_model.safetensors

@@ -1,3 +1,3 @@
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 size 8405472