End of training

README.md

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+---
+license: mit
+base_model: roberta-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta-large-1-second
+  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-large-1-second
+
+This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9356
+- Accuracy: 0.7715
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.7871        | 1.0   | 769  | 1.6188          | 0.6694   |
+| 1.5364        | 2.0   | 1538 | 1.4230          | 0.6828   |
+| 1.4249        | 3.0   | 2307 | 1.3059          | 0.7067   |
+| 1.336         | 4.0   | 3076 | 1.1884          | 0.7290   |
+| 1.2366        | 5.0   | 3845 | 1.1214          | 0.74     |
+| 1.1394        | 6.0   | 4614 | 1.0214          | 0.7601   |
+| 1.0744        | 7.0   | 5383 | 0.9801          | 0.7664   |
+| 1.0196        | 8.0   | 6152 | 0.9696          | 0.7646   |
+| 0.9896        | 9.0   | 6921 | 0.9356          | 0.7715   |
+| 0.9754        | 10.0  | 7690 | 0.9357          | 0.7704   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.0
+- Tokenizers 0.15.0

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runs/Dec26_01-14-45_762587cd74ba/events.out.tfevents.1703560471.762587cd74ba.15777.4

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