Upload folder using huggingface_hub

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-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1777
+- Loss: 1.1452
 
 ## Model description
 
@@ -34,7 +34,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0001
-- train_batch_size: 8
+- train_batch_size: 4
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -46,9 +46,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.3238        | 0.29  | 107  | 1.2512          |
-| 1.2025        | 1.29  | 214  | 1.2237          |
-| 1.2173        | 2.29  | 321  | 1.1777          |
+| 1.2999        | 0.28  | 213  | 1.2184          |
+| 1.1835        | 1.28  | 426  | 1.1595          |
+| 1.2435        | 2.28  | 639  | 1.1452          |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:96021db6a6f0691e48e4e4fada630afba0f8571b9c97022e2250005cffdbfb5e
+oid sha256:d7e9ab24fbdb7240c1953c9673986dc35f45c130a347276490577cddb34a340b
 size 134263757

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e47eed58530739d4fba83c6921b4d8e1c94c573f15d445cecc4c24a0433cae12
+oid sha256:94366f4b47a46e6184eb5252ded95601d34eaa0cadbbbfe6d2ff2ecc1228f3c7
 size 4027