Model save

Model/model.safetensors

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README.md

@@ -2,8 +2,6 @@
 base_model: DeepPavlov/xlm-roberta-large-en-ru-mnli
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: output
   results: []
@@ -16,10 +14,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [DeepPavlov/xlm-roberta-large-en-ru-mnli](https://huggingface.co/DeepPavlov/xlm-roberta-large-en-ru-mnli) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3006
-- Accuracy: 0.9677
-- F1-score: 0.9674
-- Mcc: 0.9558
+- eval_loss: 0.2408
+- eval_accuracy: 0.9691
+- eval_f1-score: 0.9693
+- eval_mcc: 0.9566
+- eval_runtime: 78.6359
+- eval_samples_per_second: 38.278
+- eval_steps_per_second: 9.576
+- epoch: 6.0
+- step: 10536
 
 ## Model description
 
@@ -47,22 +50,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 10
 
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1-score | Mcc    |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:------:|
-| 0.3994        | 1.0   | 1894  | 0.3931          | 0.8814   | 0.8622   | 0.8397 |
-| 0.2659        | 2.0   | 3788  | 0.2872          | 0.9590   | 0.9560   | 0.9440 |
-| 0.2262        | 3.0   | 5682  | 0.2528          | 0.9600   | 0.9566   | 0.9453 |
-| 0.1514        | 4.0   | 7576  | 0.2465          | 0.9569   | 0.9567   | 0.9413 |
-| 0.1319        | 5.0   | 9470  | 0.2808          | 0.9621   | 0.9617   | 0.9482 |
-| 0.0649        | 6.0   | 11364 | 0.2656          | 0.9661   | 0.9656   | 0.9536 |
-| 0.0513        | 7.0   | 13258 | 0.2716          | 0.9664   | 0.9662   | 0.9541 |
-| 0.0159        | 8.0   | 15152 | 0.2948          | 0.9667   | 0.9665   | 0.9545 |
-| 0.0121        | 9.0   | 17046 | 0.2972          | 0.9664   | 0.9662   | 0.9541 |
-| 0.009         | 10.0  | 18940 | 0.3006          | 0.9677   | 0.9674   | 0.9558 |
-
-
 ### Framework versions
 
 - Transformers 4.35.2

model.safetensors

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runs/Dec20_20-34-15_d0cb79e7e9f5/events.out.tfevents.1703104459.d0cb79e7e9f5.267.0

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training_args.bin

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