End of training

README.md

@@ -102,7 +102,7 @@ xformers_attention: null
 
 This model is a fine-tuned version of [NousResearch/Hermes-2-Pro-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 8.9346
+- Loss: 8.5702
 
 ## Model description
 
@@ -125,11 +125,8 @@ The following hyperparameters were used during training:
 - train_batch_size: 1
 - eval_batch_size: 1
 - seed: 42
-- distributed_type: multi-GPU
-- num_devices: 2
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 8
-- total_eval_batch_size: 2
+- total_train_batch_size: 4
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 10
@@ -140,10 +137,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 10.6832       | 0.0001 | 1    | 9.9402          |
-| 8.955         | 0.0002 | 3    | 9.9402          |
-| 8.8015        | 0.0003 | 6    | 9.9000          |
-| 9.2568        | 0.0005 | 9    | 8.9346          |
+| 10.7397       | 0.0000 | 1    | 9.9402          |
+| 6.4745        | 0.0001 | 3    | 9.9402          |
+| 7.9432        | 0.0002 | 6    | 9.5620          |
+| 8.8484        | 0.0002 | 9    | 8.5702          |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b93c9408cd260ca5b00e3a401c82bdbb34d29fe03cf0cf015c51800f206f7b2a
 size 167934026