update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: tweet_eval-sentiment-finetuned
+  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. -->
+
+# tweet_eval-sentiment-finetuned
+
+This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8369
+- Accuracy: 0.7305
+- F1: 0.7297
+
+## 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: 8e-05
+- train_batch_size: 128
+- eval_batch_size: 256
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.7269        | 1.0   | 357  | 0.6057          | 0.733    | 0.7323 |
+| 0.522         | 2.0   | 714  | 0.6115          | 0.7415   | 0.7416 |
+| 0.359         | 3.0   | 1071 | 0.6970          | 0.744    | 0.7445 |
+| 0.2386        | 4.0   | 1428 | 0.8369          | 0.7305   | 0.7297 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.9.1
+- Datasets 2.1.0
+- Tokenizers 0.12.1