End of training
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README.md
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---
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license: apache-2.0
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base_model: albert-xxlarge-v2
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: albert-xxlarge-v2-disaster-twitter-preprocess_data
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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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# albert-xxlarge-v2-disaster-twitter-preprocess_data
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This model is a fine-tuned version of [albert-xxlarge-v2](https://huggingface.co/albert-xxlarge-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4819
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- F1: 0.7818
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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: 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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- num_epochs: 6
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.603 | 1.0 | 762 | 0.6956 | 0.0 |
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| 0.5915 | 2.0 | 1524 | 0.7287 | 0.7011 |
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| 0.5551 | 3.0 | 2286 | 0.5446 | 0.7629 |
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| 0.4994 | 4.0 | 3048 | 0.4434 | 0.7722 |
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| 0.4244 | 5.0 | 3810 | 0.4622 | 0.7840 |
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| 0.4126 | 6.0 | 4572 | 0.4819 | 0.7818 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.2
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- Datasets 2.1.0
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- Tokenizers 0.15.2
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model.safetensors
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runs/Apr04_23-01-16_7e7fbc4b6651/events.out.tfevents.1712271677.7e7fbc4b6651.27.0
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