asm3515/distillbert-sst2-full
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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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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- f1
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- precision
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- recall
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model-index:
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- name: distillbert-yelp-rating-full
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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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# distillbert-yelp-rating-full
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3879
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- Accuracy: 0.9117
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- F1: 0.9155
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- Precision: 0.8929
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- Recall: 0.9392
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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: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 64
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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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.1167 | 1.0 | 4210 | 0.2910 | 0.9002 | 0.9010 | 0.9103 | 0.8919 |
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| 0.0852 | 2.0 | 8420 | 0.3781 | 0.8865 | 0.8937 | 0.8542 | 0.9369 |
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| 0.1275 | 3.0 | 12630 | 0.3879 | 0.9117 | 0.9155 | 0.8929 | 0.9392 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.5.0+cu124
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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model.safetensors
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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 267832560
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version https://git-lfs.github.com/spec/v1
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size 267832560
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