End of training

README.md

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+---
+library_name: transformers
+license: cc-by-4.0
+base_model: deepset/deberta-v3-large-squad2
+tags:
+- generated_from_trainer
+model-index:
+- name: DeBERTa-V3-TweetQA
+  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. -->
+
+# DeBERTa-V3-TweetQA
+
+This model is a fine-tuned version of [deepset/deberta-v3-large-squad2](https://huggingface.co/deepset/deberta-v3-large-squad2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.8121
+- Meteor: 27.2880
+- Bleu1: 22.0534
+- Rougel: 40.4011
+
+## 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: 2
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Meteor  | Bleu1   | Rougel  |
+|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|
+| 4.7667        | 1.0    | 1337 | 4.5319          | 26.2941 | 24.8268 | 39.2046 |
+| 4.6716        | 2.0    | 2674 | 4.5990          | 24.3663 | 23.0792 | 37.8348 |
+| 4.159         | 2.9981 | 4008 | 4.8121          | 27.2880 | 22.0534 | 40.4011 |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1