#1: Finetune 10k 30 epochs
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README.md
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---
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license: apache-2.0
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base_model: bert-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: BERT_finetune_sentiment
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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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# BERT_finetune_sentiment
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8911
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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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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.3369 | 1.0 | 625 | 0.2635 |
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| 0.1885 | 2.0 | 1250 | 0.4271 |
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| 0.1329 | 3.0 | 1875 | 0.5429 |
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| 0.0545 | 4.0 | 2500 | 0.5134 |
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| 0.0313 | 5.0 | 3125 | 0.6778 |
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| 0.0275 | 6.0 | 3750 | 0.7123 |
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| 0.0276 | 7.0 | 4375 | 0.6549 |
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| 0.021 | 8.0 | 5000 | 0.6959 |
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| 0.0153 | 9.0 | 5625 | 0.7736 |
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| 0.0083 | 10.0 | 6250 | 0.7828 |
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| 0.0111 | 11.0 | 6875 | 0.8629 |
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| 0.0046 | 12.0 | 7500 | 0.8794 |
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| 0.0091 | 13.0 | 8125 | 0.7696 |
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| 0.0064 | 14.0 | 8750 | 0.8840 |
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| 0.0035 | 15.0 | 9375 | 0.9002 |
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| 0.0014 | 16.0 | 10000 | 0.9629 |
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| 0.0049 | 17.0 | 10625 | 1.0240 |
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| 0.0051 | 18.0 | 11250 | 0.9016 |
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| 0.0021 | 19.0 | 11875 | 0.9011 |
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| 0.0012 | 20.0 | 12500 | 0.8911 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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runs/Jun20_07-10-45_bd0da11cfec7/events.out.tfevents.1718867446.bd0da11cfec7.3198.0
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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
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version https://git-lfs.github.com/spec/v1
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oid sha256:f8c3943d49d25bf89792a79599e49262602a8f9be8e2780813914ed07d722df4
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size 15868
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