End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2284
+- Loss: 3.2257
 
 ## Model description
 
@@ -40,22 +40,15 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss |
-|:-------------:|:-----:|:-----:|:---------------:|
-| 3.3071        | 1.0   | 2293  | 3.2548          |
-| 3.2902        | 2.0   | 4586  | 3.2421          |
-| 3.2776        | 3.0   | 6879  | 3.2373          |
-| 3.2841        | 4.0   | 9172  | 3.2342          |
-| 3.2754        | 5.0   | 11465 | 3.2322          |
-| 3.2689        | 6.0   | 13758 | 3.2306          |
-| 3.2678        | 7.0   | 16051 | 3.2298          |
-| 3.267         | 8.0   | 18344 | 3.2291          |
-| 3.2626        | 9.0   | 20637 | 3.2285          |
-| 3.2672        | 10.0  | 22930 | 3.2284          |
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.2607        | 1.0   | 2293 | 3.2278          |
+| 3.2592        | 2.0   | 4586 | 3.2263          |
+| 3.2514        | 3.0   | 6879 | 3.2257          |
 
 
 ### Framework versions

adapter_model.bin

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training_args.bin

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 size 4536