End of training

README.md

@@ -101,7 +101,7 @@ xformers_attention: null
 
 This model is a fine-tuned version of [unsloth/Hermes-3-Llama-3.1-8B](https://huggingface.co/unsloth/Hermes-3-Llama-3.1-8B) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.0246
+- Loss: 6.2211
 
 ## Model description
 
@@ -124,8 +124,11 @@ 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: 4
+- total_train_batch_size: 8
+- total_eval_batch_size: 2
 - optimizer: Use OptimizerNames.ADAMW_HF 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
@@ -136,10 +139,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 6.2311        | 0.0004 | 1    | 7.1670          |
-| 7.0367        | 0.0013 | 3    | 7.1670          |
-| 5.7917        | 0.0025 | 6    | 6.9420          |
-| 5.9806        | 0.0038 | 9    | 6.0246          |
+| 6.2949        | 0.0008 | 1    | 7.1670          |
+| 6.3083        | 0.0025 | 3    | 7.1670          |
+| 6.8524        | 0.0051 | 6    | 6.8654          |
+| 6.0991        | 0.0076 | 9    | 6.2211          |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:72e8c7317c4ee088dcf350854fe54b49630ba96ad7ea4764c84c7b76335dc29b
 size 84047370