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End of training

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  1. README.md +64 -0
  2. generation_config.json +13 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/bart-large
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bart_math_solver_2
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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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+ # bart_math_solver_2
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+
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+ This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6739
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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: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 8
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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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+ | 0.6678 | 1.0 | 221 | 0.6366 |
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+ | 0.6333 | 2.0 | 442 | 0.6897 |
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+ | 0.612 | 3.0 | 663 | 0.6775 |
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+ | 0.5361 | 4.0 | 884 | 0.6384 |
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+ | 0.5411 | 5.0 | 1105 | 0.6976 |
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+ | 0.5831 | 6.0 | 1326 | 0.6655 |
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+ | 0.5733 | 7.0 | 1547 | 0.6790 |
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+ | 0.5658 | 8.0 | 1768 | 0.6739 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.1
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 2,
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+ "early_stopping": true,
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+ "eos_token_id": 2,
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+ "forced_bos_token_id": 0,
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+ "forced_eos_token_id": 2,
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+ "no_repeat_ngram_size": 3,
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+ "num_beams": 4,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.34.1"
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+ }
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