End of training
Browse files- README.md +77 -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-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: NoFrequentWords
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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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# NoFrequentWords
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.5140
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- eval_Accuracy: 0.4027
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- eval_F1_macro: 0.1427
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- eval_F1_class_0: 0.9205
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- eval_F1_class_1: 0.6667
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- eval_F1_class_2: 0.1782
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- eval_F1_class_3: 0.0
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- eval_F1_class_4: 0.0
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- eval_F1_class_5: 0.0
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- eval_F1_class_6: 0.0204
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- eval_F1_class_7: 0.0
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- eval_F1_class_8: 0.0
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- eval_F1_class_9: 0.9070
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- eval_F1_class_10: 0.0253
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- eval_F1_class_11: 0.0
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- eval_F1_class_12: 0.1140
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- eval_F1_class_13: 0.0
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- eval_F1_class_14: 0.0220
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- eval_F1_class_15: 0.0
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- eval_F1_class_16: 0.0
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- eval_F1_class_17: 0.0
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- eval_F1_class_18: 0.0
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- eval_F1_class_19: 0.0
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- eval_runtime: 17.6645
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- eval_samples_per_second: 63.97
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- eval_steps_per_second: 4.019
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- epoch: 2.92
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- step: 9500
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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: 10
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### Framework versions
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- Transformers 4.32.0
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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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@@ -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 267910893
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version https://git-lfs.github.com/spec/v1
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size 267910893
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