End of training

README.md

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+---
+base_model: plguillou/t5-base-fr-sum-cnndm
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-base-fr-sum-cnndm_finetuned_12_06_10_23
+  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. -->
+
+# t5-base-fr-sum-cnndm_finetuned_12_06_10_23
+
+This model is a fine-tuned version of [plguillou/t5-base-fr-sum-cnndm](https://huggingface.co/plguillou/t5-base-fr-sum-cnndm) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8407
+- Rouge1: 0.1595
+- Rouge2: 0.0349
+- Rougel: 0.1304
+- Rougelsum: 0.1303
+- Gen Len: 20.0
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 2.0448        | 1.0   | 1334 | 1.8407          | 0.1595 | 0.0349 | 0.1304 | 0.1303    | 20.0    |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

generation_config.json

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

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runs/Jun12_10-23-43_t1-le-90-gra7/events.out.tfevents.1718187824.t1-le-90-gra7.28359.0

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