End of training
Browse files- README.md +98 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: roberta-large
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tags:
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- generated_from_trainer
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model-index:
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- name: roberta-large-finetuned-steam-reviews
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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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# roberta-large-finetuned-steam-reviews
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This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2560
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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: 8
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- eval_batch_size: 8
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:-----:|:---------------:|
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| 1.7565 | 0.2379 | 800 | 1.5387 |
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| 1.6034 | 0.4758 | 1600 | 1.5048 |
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| 1.5793 | 0.7136 | 2400 | 1.4671 |
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| 1.5377 | 0.9515 | 3200 | 1.4388 |
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| 1.5018 | 1.1894 | 4000 | 1.4363 |
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| 1.4893 | 1.4273 | 4800 | 1.4168 |
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| 1.4774 | 1.6652 | 5600 | 1.4002 |
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| 1.4705 | 1.9031 | 6400 | 1.3901 |
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| 1.4409 | 2.1409 | 7200 | 1.3821 |
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| 1.4352 | 2.3788 | 8000 | 1.3821 |
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| 1.4314 | 2.6167 | 8800 | 1.3848 |
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| 1.4178 | 2.8546 | 9600 | 1.3745 |
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| 1.4118 | 3.0925 | 10400 | 1.3683 |
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| 1.3876 | 3.3304 | 11200 | 1.3423 |
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| 1.4027 | 3.5682 | 12000 | 1.3441 |
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| 1.3969 | 3.8061 | 12800 | 1.3571 |
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| 1.3801 | 4.0440 | 13600 | 1.3552 |
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| 1.3702 | 4.2819 | 14400 | 1.3220 |
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| 1.3568 | 4.5198 | 15200 | 1.3181 |
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| 1.3628 | 4.7577 | 16000 | 1.3268 |
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| 1.3586 | 4.9955 | 16800 | 1.3256 |
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| 1.3384 | 5.2334 | 17600 | 1.3316 |
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| 1.3389 | 5.4713 | 18400 | 1.3142 |
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| 1.3245 | 5.7092 | 19200 | 1.3105 |
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| 1.3306 | 5.9471 | 20000 | 1.3171 |
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| 1.3201 | 6.1850 | 20800 | 1.3080 |
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| 1.3118 | 6.4228 | 21600 | 1.3021 |
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| 1.3218 | 6.6607 | 22400 | 1.2908 |
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| 1.3181 | 6.8986 | 23200 | 1.2886 |
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| 1.2915 | 7.1365 | 24000 | 1.2868 |
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| 1.2893 | 7.3744 | 24800 | 1.2856 |
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| 1.3001 | 7.6123 | 25600 | 1.2904 |
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| 1.2823 | 7.8501 | 26400 | 1.2806 |
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| 1.276 | 8.0880 | 27200 | 1.3013 |
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| 1.2732 | 8.3259 | 28000 | 1.2950 |
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| 1.2825 | 8.5638 | 28800 | 1.2767 |
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| 1.2811 | 8.8017 | 29600 | 1.2781 |
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| 1.2746 | 9.0395 | 30400 | 1.2740 |
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| 1.2683 | 9.2774 | 31200 | 1.2721 |
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| 1.2705 | 9.5153 | 32000 | 1.2616 |
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| 1.2531 | 9.7532 | 32800 | 1.2598 |
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| 1.2628 | 9.9911 | 33600 | 1.2614 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1421696540
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version https://git-lfs.github.com/spec/v1
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oid sha256:1daa385993699a41bbd36e497a98aa31a56c0139f09410b98e6db15a68cd13b3
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size 1421696540
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