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End of training

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  1. README.md +71 -0
  2. generation_config.json +10 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: allenai/led-large-16384
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: LED-Large-NSPCC
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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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+ # LED-Large-NSPCC
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+
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+ This model is a fine-tuned version of [allenai/led-large-16384](https://huggingface.co/allenai/led-large-16384) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7268
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+ - Rouge1: 0.5254
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+ - Rouge2: 0.2338
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+ - Rougel: 0.3002
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+ - Rougelsum: 0.3002
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+ - Gen Len: 299.4787
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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: 0.0003
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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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: 0.03
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+ - num_epochs: 4
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
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+ | 2.4641 | 0.9947 | 94 | 2.1400 | 0.4307 | 0.1505 | 0.226 | 0.226 | 353.6277 |
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+ | 1.8933 | 2.0 | 189 | 1.8349 | 0.4851 | 0.1895 | 0.2638 | 0.2641 | 275.5745 |
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+ | 1.3745 | 2.9947 | 283 | 1.6659 | 0.516 | 0.2274 | 0.2882 | 0.2887 | 299.5426 |
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+ | 0.8719 | 3.9788 | 376 | 1.7268 | 0.5254 | 0.2338 | 0.3002 | 0.3002 | 299.4787 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
generation_config.json ADDED
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+ {
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 2,
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+ "eos_token_id": 2,
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+ "max_new_tokens": 400,
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+ "no_repeat_ngram_size": 5,
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+ "num_beams": 3,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.40.1"
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+ }
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