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RADME_fine_f2

PyTorch
t5
Generated from Trainer
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  1. README.md +70 -0
  2. config.json +61 -0
  3. generation_config.json +7 -0
  4. pytorch_model.bin +3 -0
  5. special_tokens_map.json +107 -0
  6. spiece.model +3 -0
  7. tokenizer_config.json +113 -0
  8. training_args.bin +3 -0
README.md ADDED
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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: RADME_fine_f2
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+ results: []
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+ ---
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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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+
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+ # RADME_fine_f2
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+
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+ This model was trained from scratch on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3229
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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_steps: 3
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+ - num_epochs: 15
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.3451 | 0.95 | 5000 | 0.3071 |
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+ | 0.3005 | 1.91 | 10000 | 0.2879 |
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+ | 0.2738 | 2.86 | 15000 | 0.2796 |
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+ | 0.2572 | 3.81 | 20000 | 0.2768 |
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+ | 0.2382 | 4.77 | 25000 | 0.2778 |
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+ | 0.2262 | 5.72 | 30000 | 0.2770 |
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+ | 0.2111 | 6.68 | 35000 | 0.2810 |
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+ | 0.199 | 7.63 | 40000 | 0.2881 |
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+ | 0.1896 | 8.58 | 45000 | 0.2940 |
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+ | 0.1799 | 9.54 | 50000 | 0.2986 |
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+ | 0.1702 | 10.49 | 55000 | 0.3054 |
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+ | 0.1631 | 11.44 | 60000 | 0.3095 |
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+ | 0.1555 | 12.4 | 65000 | 0.3157 |
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+ | 0.1503 | 13.35 | 70000 | 0.3199 |
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+ | 0.1478 | 14.3 | 75000 | 0.3229 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 2.0.1
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
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