End of training

README.md

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+---
+license: apache-2.0
+base_model: distilroberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: distilroberta-rbm231k-ep20-2
+  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. -->
+
+# distilroberta-rbm231k-ep20-2
+
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1659
+
+## 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: 7.3e-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
+- lr_scheduler_warmup_ratio: 0.19
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss |
+|:-------------:|:-----:|:------:|:---------------:|
+| 1.6485        | 1.0   | 14644  | 1.5036          |
+| 1.5674        | 2.0   | 29288  | 1.4329          |
+| 1.5284        | 3.0   | 43932  | 1.4043          |
+| 1.503         | 4.0   | 58576  | 1.3876          |
+| 1.4735        | 5.0   | 73220  | 1.3594          |
+| 1.4399        | 6.0   | 87864  | 1.3312          |
+| 1.4061        | 7.0   | 102508 | 1.3074          |
+| 1.3895        | 8.0   | 117152 | 1.2900          |
+| 1.3691        | 9.0   | 131796 | 1.2749          |
+| 1.3591        | 10.0  | 146440 | 1.2625          |
+| 1.3267        | 11.0  | 161084 | 1.2501          |
+| 1.314         | 12.0  | 175728 | 1.2353          |
+| 1.2995        | 13.0  | 190372 | 1.2242          |
+| 1.2888        | 14.0  | 205016 | 1.2136          |
+| 1.2773        | 15.0  | 219660 | 1.2027          |
+| 1.2557        | 16.0  | 234304 | 1.1920          |
+| 1.2443        | 17.0  | 248948 | 1.1831          |
+| 1.2449        | 18.0  | 263592 | 1.1776          |
+| 1.2294        | 19.0  | 278236 | 1.1725          |
+| 1.2231        | 20.0  | 292880 | 1.1666          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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