End of training

README.md

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+---
+license: mit
+base_model: FacebookAI/roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: hw-intent-atis
+  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. -->
+
+# hw-intent-atis
+
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 13.3164
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 4000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.0266        | 1.6   | 500  | 11.9988         |
+| 0.0444        | 3.21  | 1000 | 11.4742         |
+| 0.0314        | 4.81  | 1500 | 12.1216         |
+| 0.0163        | 6.41  | 2000 | 12.8759         |
+| 0.0104        | 8.01  | 2500 | 13.1008         |
+| 0.0052        | 9.62  | 3000 | 13.2233         |
+| 0.0046        | 11.22 | 3500 | 13.2846         |
+| 0.0022        | 12.82 | 4000 | 13.3164         |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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