End of training

README.md

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+---
+license: apache-2.0
+base_model: allenai/led-base-16384
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: LongFormer-docNMT
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# LongFormer-docNMT
+
+This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6309
+- Bleu: 17.1793
+- Meteor: 0.3591
+- Comet: 0.4192
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Meteor | Comet  |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|
+| 3.1806        | 1.0   | 197  | 1.9841          | 10.0127 | 0.2483 | 0.3147 |
+| 2.0319        | 2.0   | 394  | 1.7005          | 15.4518 | 0.3323 | 0.3909 |
+| 1.7954        | 3.0   | 591  | 1.6309          | 17.1793 | 0.3591 | 0.4192 |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.41.2"
+}