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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_3_12 |
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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_3_12 |
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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: 1.0095 |
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- Map@3: 0.7278 |
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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: 1e-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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| 1.2279 | 0.04 | 200 | 1.0085 | 0.7305 | |
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| 1.2068 | 0.08 | 400 | 1.0804 | 0.7313 | |
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| 1.1809 | 0.13 | 600 | 1.0225 | 0.7302 | |
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| 1.0666 | 0.17 | 800 | 1.2032 | 0.7248 | |
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| 1.0671 | 0.21 | 1000 | 1.0308 | 0.7243 | |
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| 1.0396 | 0.25 | 1200 | 1.0818 | 0.7183 | |
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| 1.0183 | 0.29 | 1400 | 1.1960 | 0.7205 | |
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| 0.9193 | 0.34 | 1600 | 1.2615 | 0.7072 | |
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| 0.9277 | 0.38 | 1800 | 1.1993 | 0.7230 | |
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| 0.9777 | 0.42 | 2000 | 1.2120 | 0.7203 | |
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| 0.9021 | 0.46 | 2200 | 1.4372 | 0.7208 | |
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| 0.9538 | 0.51 | 2400 | 1.1713 | 0.7167 | |
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| 0.9536 | 0.55 | 2600 | 1.2319 | 0.7225 | |
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| 0.8825 | 0.59 | 2800 | 1.1445 | 0.7257 | |
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| 0.9923 | 0.63 | 3000 | 1.0981 | 0.7195 | |
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| 1.0443 | 0.67 | 3200 | 1.0991 | 0.7268 | |
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| 1.0926 | 0.72 | 3400 | 1.1384 | 0.7332 | |
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| 1.1126 | 0.76 | 3600 | 1.0627 | 0.7287 | |
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| 1.1415 | 0.8 | 3800 | 1.0397 | 0.7317 | |
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| 1.2765 | 0.84 | 4000 | 1.0114 | 0.7285 | |
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| 1.2241 | 0.88 | 4200 | 1.0126 | 0.7295 | |
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| 1.2353 | 0.93 | 4400 | 1.0098 | 0.7278 | |
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| 1.275 | 0.97 | 4600 | 1.0095 | 0.7278 | |
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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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