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End of training
Browse files- README.md +71 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: mit
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base_model: roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: MRR-Roberta_without_squal_15k
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# MRR-Roberta_without_squal_15k
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1563
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.8327 | 1.0 | 5797 | 0.9889 |
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| 0.7944 | 2.0 | 11594 | 1.0074 |
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| 0.6759 | 3.0 | 17391 | 0.7689 |
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| 0.63 | 4.0 | 23188 | 0.6830 |
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| 0.508 | 5.0 | 28985 | 0.7813 |
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| 0.5907 | 6.0 | 34782 | 0.7577 |
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| 0.4612 | 7.0 | 40579 | 0.7701 |
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| 0.4485 | 8.0 | 46376 | 0.8050 |
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| 0.3881 | 9.0 | 52173 | 0.8276 |
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| 0.4072 | 10.0 | 57970 | 0.8701 |
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| 0.3177 | 11.0 | 63767 | 0.9870 |
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| 0.2954 | 12.0 | 69564 | 0.9968 |
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| 0.2881 | 13.0 | 75361 | 1.1037 |
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| 0.2106 | 14.0 | 81158 | 1.1053 |
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| 0.2564 | 15.0 | 86955 | 1.1563 |
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### Framework versions
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- Transformers 4.32.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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-
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size 496294633
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version https://git-lfs.github.com/spec/v1
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size 496294633
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