End of training

README.md

@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0906
-- Rmse: 1.2160
+- Loss: 2.9503
+- F1-score: 0.6139
 
 ## Model description
 
@@ -35,7 +35,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 4
+- train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -44,23 +44,23 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Rmse   |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 1.0289        | 1.0   | 961  | 0.9978          | 0.8375 |
-| 1.0696        | 2.0   | 1922 | 1.0969          | 0.8262 |
-| 1.1009        | 3.0   | 2883 | 1.0907          | 1.2160 |
-| 1.101         | 4.0   | 3844 | 1.0909          | 1.2160 |
-| 1.1021        | 5.0   | 4805 | 1.0911          | 1.2160 |
-| 1.096         | 6.0   | 5766 | 1.0933          | 1.2160 |
-| 1.0964        | 7.0   | 6727 | 1.0909          | 1.2160 |
-| 1.0953        | 8.0   | 7688 | 1.0912          | 1.2160 |
-| 1.0929        | 9.0   | 8649 | 1.0907          | 1.2160 |
-| 1.0921        | 10.0  | 9610 | 1.0906          | 1.2160 |
+| Training Loss | Epoch | Step | Validation Loss | F1-score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9136        | 1.0   | 241  | 0.8427          | 0.6223   |
+| 0.6957        | 2.0   | 482  | 0.9260          | 0.6046   |
+| 0.4825        | 3.0   | 723  | 1.1533          | 0.6004   |
+| 0.299         | 4.0   | 964  | 1.2836          | 0.5952   |
+| 0.2142        | 5.0   | 1205 | 1.5988          | 0.6160   |
+| 0.1312        | 6.0   | 1446 | 2.5332          | 0.5879   |
+| 0.0899        | 7.0   | 1687 | 2.4297          | 0.6233   |
+| 0.0414        | 8.0   | 1928 | 2.7368          | 0.6129   |
+| 0.023         | 9.0   | 2169 | 2.9262          | 0.6160   |
+| 0.0203        | 10.0  | 2410 | 2.9503          | 0.6139   |
 
 
 ### Framework versions
 
-- Transformers 4.31.0
+- Transformers 4.43.0.dev0
 - Pytorch 2.0.1+cu117
-- Datasets 2.18.0
-- Tokenizers 0.13.3
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

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runs/Jul04_16-35-30_raul-MS-7B98/events.out.tfevents.1720128933.raul-MS-7B98.8050.0

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