Model save

README.md

@@ -21,13 +21,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1844
-- Model Preparation Time: 0.0034
-- Accuracy: 0.7284
-- Precision: 0.7033
-- Recall: 0.7149
-- F1: 0.7060
-- Ratio: 0.3735
+- Loss: 0.8424
+- Model Preparation Time: 0.0068
+- Accuracy: 0.6173
+- Precision: 0.6539
+- Recall: 0.5487
+- F1: 0.5668
+- Ratio: 0.4136
 
 ## Model description
 
@@ -54,23 +54,14 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 16
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 10
+- num_epochs: 1
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Model Preparation Time | Accuracy | Precision | Recall | F1     | Ratio  |
 |:-------------:|:------:|:----:|:---------------:|:----------------------:|:--------:|:---------:|:------:|:------:|:------:|
-| No log        | 0.9895 | 47   | 0.8346          | 0.0034                 | 0.6049   | 0.6301    | 0.5396 | 0.5578 | 0.6019 |
-| No log        | 2.0    | 95   | 0.8324          | 0.0034                 | 0.6636   | 0.6559    | 0.6531 | 0.6324 | 0.2593 |
-| No log        | 2.9895 | 142  | 0.7849          | 0.0034                 | 0.6759   | 0.6501    | 0.6674 | 0.6568 | 0.4475 |
-| No log        | 4.0    | 190  | 0.8593          | 0.0034                 | 0.6790   | 0.6533    | 0.6942 | 0.6658 | 0.3889 |
-| No log        | 4.9895 | 237  | 0.9753          | 0.0034                 | 0.6975   | 0.6657    | 0.6899 | 0.6749 | 0.4074 |
-| No log        | 6.0    | 285  | 1.0384          | 0.0034                 | 0.6852   | 0.6687    | 0.6838 | 0.6745 | 0.4599 |
-| No log        | 6.9895 | 332  | 1.0841          | 0.0034                 | 0.7037   | 0.6802    | 0.6964 | 0.6807 | 0.3364 |
-| No log        | 8.0    | 380  | 1.1334          | 0.0034                 | 0.7160   | 0.6943    | 0.7099 | 0.6994 | 0.3796 |
-| No log        | 8.9895 | 427  | 1.1389          | 0.0034                 | 0.7284   | 0.7056    | 0.7149 | 0.7072 | 0.3735 |
-| No log        | 9.8947 | 470  | 1.1844          | 0.0034                 | 0.7284   | 0.7033    | 0.7149 | 0.7060 | 0.3735 |
+| No log        | 0.9895 | 47   | 0.8424          | 0.0068                 | 0.6173   | 0.6539    | 0.5487 | 0.5668 | 0.4136 |
 
 
 ### Framework versions