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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: checkpoints_1_18 |
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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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# checkpoints_1_18 |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0029 |
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- Map@3: 0.7167 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 0 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Map@3 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 1.142 | 0.11 | 500 | 1.0493 | 0.7237 | |
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| 0.9838 | 0.21 | 1000 | 1.0372 | 0.7165 | |
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| 0.9986 | 0.32 | 1500 | 1.3068 | 0.6970 | |
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| 1.0107 | 0.42 | 2000 | 1.1471 | 0.7107 | |
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| 1.0236 | 0.53 | 2500 | 1.1068 | 0.7115 | |
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| 1.0616 | 0.63 | 3000 | 1.0636 | 0.7170 | |
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| 1.1416 | 0.74 | 3500 | 1.0426 | 0.7183 | |
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| 1.1879 | 0.84 | 4000 | 1.0135 | 0.7147 | |
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| 1.2246 | 0.95 | 4500 | 1.0029 | 0.7167 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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