End of training
Browse files- README.md +79 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: distilbert/distilbert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: TrainedSentiment
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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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# TrainedSentiment
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0299
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- Accuracy: 0.9833
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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: 16
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- eval_batch_size: 16
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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: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 38 | 0.6023 | 0.6233 |
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| No log | 2.0 | 76 | 0.4643 | 0.7883 |
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| No log | 3.0 | 114 | 0.4152 | 0.8233 |
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| No log | 4.0 | 152 | 0.2017 | 0.93 |
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| No log | 5.0 | 190 | 0.1128 | 0.9617 |
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| No log | 6.0 | 228 | 0.0679 | 0.9767 |
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| No log | 7.0 | 266 | 0.0548 | 0.9783 |
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| No log | 8.0 | 304 | 0.0476 | 0.98 |
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| No log | 9.0 | 342 | 0.0460 | 0.9817 |
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| No log | 10.0 | 380 | 0.0414 | 0.9833 |
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| No log | 11.0 | 418 | 0.0414 | 0.9817 |
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| No log | 12.0 | 456 | 0.0387 | 0.9817 |
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| No log | 13.0 | 494 | 0.0377 | 0.9833 |
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| 0.2188 | 14.0 | 532 | 0.0353 | 0.9833 |
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| 0.2188 | 15.0 | 570 | 0.0329 | 0.9833 |
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| 0.2188 | 16.0 | 608 | 0.0314 | 0.985 |
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| 0.2188 | 17.0 | 646 | 0.0308 | 0.985 |
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| 0.2188 | 18.0 | 684 | 0.0300 | 0.985 |
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| 0.2188 | 19.0 | 722 | 0.0297 | 0.985 |
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| 0.2188 | 20.0 | 760 | 0.0299 | 0.9833 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.12.0
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- Tokenizers 0.13.2
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pytorch_model.bin
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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 267854570
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b0c165205f5e7d11b644cbaab7fea8f0da151340fe516acbbdfbb4729cfbebd
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size 267854570
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