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- model.safetensors +1 -1
README.md
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---
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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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model-index:
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- name: AV_MAE_2class_DF1M
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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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# AV_MAE_2class_DF1M
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3200
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- Accuracy: 0.9335
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- F1: 0.9334
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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: 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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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 28240
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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 | Accuracy | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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| 0.2874 | 0.16 | 4515 | 0.3124 | 0.9181 | 0.9181 |
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| 0.4418 | 1.16 | 9030 | 0.3153 | 0.9261 | 0.9260 |
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| 0.453 | 2.16 | 13546 | 0.2692 | 0.9305 | 0.9305 |
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| 0.2247 | 3.16 | 18062 | 0.2746 | 0.9308 | 0.9307 |
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| 0.0751 | 4.16 | 22579 | 0.2604 | 0.9382 | 0.9380 |
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| 0.0827 | 5.16 | 27095 | 0.2913 | 0.9366 | 0.9365 |
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| 0.1658 | 6.04 | 28240 | 0.3200 | 0.9335 | 0.9334 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.2.1+cu118
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- Datasets 2.18.0
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- Tokenizers 0.15.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 689742392
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version https://git-lfs.github.com/spec/v1
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oid sha256:be6c7bea6cadf0c3b7de6d1907b7d99d9bcbd08c2f4551e87c78035c6ce888aa
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size 689742392
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