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--- |
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license: apache-2.0 |
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base_model: albert/albert-base-v2 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: output |
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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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# output |
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This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/albert-base-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3331 |
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- Memory Allocated (gb): 5.75 |
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- Max Memory Allocated (gb): 10.76 |
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- Total Memory Available (gb): 94.62 |
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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: 64 |
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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-06 |
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- lr_scheduler_type: reduce_lr_on_plateau |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Allocated (gb) | Memory Allocated (gb) | Memory Available (gb) | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:---------------------:|:---------------------:| |
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| No log | 1.0 | 391 | 0.2682 | 5.75 | 10.76 | 94.62 | |
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| No log | 2.0 | 782 | 0.2636 | 5.75 | 10.76 | 94.62 | |
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| No log | 3.0 | 1173 | 0.2861 | 5.75 | 10.76 | 94.62 | |
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| 0.2178 | 4.0 | 1564 | 0.3331 | 5.75 | 10.76 | 94.62 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.2a0+gitb5d0b9b |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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