Training complete

README.md

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+---
+license: mit
+base_model: FacebookAI/roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: baseroberta-finetuned_squadcovid
+  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. -->
+
+# baseroberta-finetuned_squadcovid
+
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8426
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.6662        | 0.21  | 1000 | 1.0762          |
+| 0.7148        | 0.42  | 2000 | 0.9627          |
+| 0.6548        | 0.64  | 3000 | 0.8933          |
+| 0.601         | 0.85  | 4000 | 0.8712          |
+| 0.5623        | 1.06  | 5000 | 0.8938          |
+| 0.4915        | 1.27  | 6000 | 0.8678          |
+| 0.4772        | 1.49  | 7000 | 0.8568          |
+| 0.4709        | 1.7   | 8000 | 0.8479          |
+| 0.4616        | 1.91  | 9000 | 0.8426          |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2