End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: allenai/led-base-16384
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- bleu
+- precision
+- recall
+- f1
+model-index:
+- name: Lora_LED_sum_challenge
+  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. -->
+
+# Lora_LED_sum_challenge
+
+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: 9.9818
+- Rouge1: 0.2094
+- Rouge2: 0.0604
+- Rougel: 0.1683
+- Rougelsum: 0.1689
+- Gen Len: 21.0
+- Bleu: 0.0217
+- Precisions: 0.0745
+- Brevity Penalty: 0.5581
+- Length Ratio: 0.6316
+- Translation Length: 763.0
+- Reference Length: 1208.0
+- Precision: 0.8575
+- Recall: 0.8525
+- F1: 0.8549
+- Hashcode: roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1)
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu   | Precisions | Brevity Penalty | Length Ratio | Translation Length | Reference Length | Precision | Recall | F1     | Hashcode                                                  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|:----------:|:---------------:|:------------:|:------------------:|:----------------:|:---------:|:------:|:------:|:---------------------------------------------------------:|
+| 10.5321       | 1.0   | 7    | 10.5463         | 0.2094 | 0.0604 | 0.1683 | 0.1689    | 21.0    | 0.0217 | 0.0745     | 0.5581          | 0.6316       | 763.0              | 1208.0           | 0.8575    | 0.8525 | 0.8549 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 10.3883       | 2.0   | 14   | 10.4317         | 0.2094 | 0.0604 | 0.1683 | 0.1689    | 21.0    | 0.0217 | 0.0745     | 0.5581          | 0.6316       | 763.0              | 1208.0           | 0.8575    | 0.8525 | 0.8549 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 10.2749       | 3.0   | 21   | 10.3281         | 0.2094 | 0.0604 | 0.1683 | 0.1689    | 21.0    | 0.0217 | 0.0745     | 0.5581          | 0.6316       | 763.0              | 1208.0           | 0.8575    | 0.8525 | 0.8549 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 10.2327       | 4.0   | 28   | 10.2371         | 0.2094 | 0.0604 | 0.1683 | 0.1689    | 21.0    | 0.0217 | 0.0745     | 0.5581          | 0.6316       | 763.0              | 1208.0           | 0.8575    | 0.8525 | 0.8549 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 10.1782       | 5.0   | 35   | 10.1595         | 0.2094 | 0.0604 | 0.1683 | 0.1689    | 21.0    | 0.0217 | 0.0745     | 0.5581          | 0.6316       | 763.0              | 1208.0           | 0.8575    | 0.8525 | 0.8549 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 10.0863       | 6.0   | 42   | 10.0958         | 0.2094 | 0.0604 | 0.1683 | 0.1689    | 21.0    | 0.0217 | 0.0745     | 0.5581          | 0.6316       | 763.0              | 1208.0           | 0.8575    | 0.8525 | 0.8549 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 9.9788        | 7.0   | 49   | 10.0463         | 0.2094 | 0.0604 | 0.1683 | 0.1689    | 21.0    | 0.0217 | 0.0745     | 0.5581          | 0.6316       | 763.0              | 1208.0           | 0.8575    | 0.8525 | 0.8549 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 10.0324       | 8.0   | 56   | 10.0111         | 0.2094 | 0.0604 | 0.1683 | 0.1689    | 21.0    | 0.0217 | 0.0745     | 0.5581          | 0.6316       | 763.0              | 1208.0           | 0.8575    | 0.8525 | 0.8549 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 9.872         | 9.0   | 63   | 9.9897          | 0.2094 | 0.0604 | 0.1683 | 0.1689    | 21.0    | 0.0217 | 0.0745     | 0.5581          | 0.6316       | 763.0              | 1208.0           | 0.8575    | 0.8525 | 0.8549 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 9.9103        | 10.0  | 70   | 9.9818          | 0.2094 | 0.0604 | 0.1683 | 0.1689    | 21.0    | 0.0217 | 0.0745     | 0.5581          | 0.6316       | 763.0              | 1208.0           | 0.8575    | 0.8525 | 0.8549 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.53.1
+- Pytorch 2.7.0+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.1

adapter_config.json

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