update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta-tiny-4l-10M
+  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. -->
+
+# roberta-tiny-4l-10M
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.3440
+- Accuracy: 0.0513
+
+## 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: 0.0007
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 128
+- total_train_batch_size: 2048
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 100.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 7.4785        | 4.16  | 50   | 7.3834          | 0.0514   |
+| 7.425         | 8.33  | 100  | 7.3559          | 0.0514   |
+| 7.4187        | 12.49 | 150  | 7.3517          | 0.0512   |
+| 7.4204        | 16.66 | 200  | 7.3440          | 0.0514   |
+| 7.4099        | 20.82 | 250  | 7.3454          | 0.0515   |
+| 7.2916        | 24.99 | 300  | 7.3442          | 0.0515   |
+| 7.4117        | 29.16 | 350  | 7.3440          | 0.0513   |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.6.1
+- Tokenizers 0.12.1