jmeneu/Fine-tuning-Mistral

README.md

@@ -19,8 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0108
-- Accuracy: {'accuracy': 0.52024}
+- Loss: 0.6942
+- Accuracy: {'accuracy': 0.50984}
 
 ## Model description
 
@@ -39,19 +39,23 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.005
+- learning_rate: 0.001
 - train_batch_size: 2
 - eval_batch_size: 2
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy              |
 |:-------------:|:-----:|:-----:|:---------------:|:---------------------:|
-| 1.0658        | 1.0   | 12500 | 1.0108          | {'accuracy': 0.52024} |
+| 1.5482        | 1.0   | 12500 | 1.3653          | {'accuracy': 0.58188} |
+| 0.7082        | 2.0   | 25000 | 0.6882          | {'accuracy': 0.55924} |
+| 0.7127        | 3.0   | 37500 | 0.6934          | {'accuracy': 0.50536} |
+| 0.6993        | 4.0   | 50000 | 0.6948          | {'accuracy': 0.5022}  |
+| 0.693         | 5.0   | 62500 | 0.6942          | {'accuracy': 0.50984} |
 
 
 ### Framework versions

adapter_model.safetensors

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runs/Dec03_22-56-38_e9430e536a2b/events.out.tfevents.1701644199.e9430e536a2b.1710.0

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training_args.bin

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