update model card README.md

README.md

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+---
+license: cc-by-nc-4.0
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: Basque_Dialects_Classification
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Basque_Dialects_Classification
+
+This model is a fine-tuned version of [ixa-ehu/roberta-eus-cc100-base-cased](https://huggingface.co/ixa-ehu/roberta-eus-cc100-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4558
+- F1: 0.6846
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 7.2193610624691235e-06
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 0.7
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 1.4126        | 1.0   | 9611  | 1.4626          | 0.5893 |
+| 1.3446        | 2.0   | 19222 | 1.5642          | 0.6421 |
+| 1.0157        | 3.0   | 28833 | 1.5049          | 0.6596 |
+| 1.3012        | 4.0   | 38444 | 1.4939          | 0.6708 |
+| 1.0824        | 5.0   | 48055 | 1.4558          | 0.6846 |
+
+
+### Framework versions
+
+- Transformers 4.22.2
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.2
+- Tokenizers 0.12.1