ninagroot/Llama-360Mtest

README.md

@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 5.8561
+- Loss: 9.4293
 
 ## Model description
 
@@ -36,24 +36,21 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 32
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 100
-- num_epochs: 6
+- num_epochs: 4
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 7    | 9.1363          |
-| No log        | 2.0   | 14   | 7.9096          |
-| 8.079         | 3.0   | 21   | 7.2609          |
-| 8.079         | 4.0   | 28   | 6.7298          |
-| 8.079         | 5.0   | 35   | 6.3046          |
-| 5.3833        | 6.0   | 42   | 5.8561          |
+| No log        | 0.57  | 1    | 9.6426          |
+| No log        | 1.71  | 3    | 9.5332          |
+| No log        | 2.29  | 4    | 9.4293          |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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