lorenzoscottb/PreDA-t5-base

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google-t5/t5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: PreDA_t5-base
+  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. -->
+
+# PreDA_t5-base
+
+This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4362
+- Rouge1: 0.7866
+- Rouge2: 0.6744
+- Rougel: 0.7633
+- Rougelsum: 0.7631
+
+## 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: 0.001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 1.9319        | 1.0   | 135  | 1.8550          | 0.5264 | 0.3732 | 0.5090 | 0.5092    |
+| 1.8158        | 2.0   | 270  | 1.7623          | 0.6482 | 0.5020 | 0.6238 | 0.6242    |
+| 1.7508        | 3.0   | 405  | 1.7072          | 0.7429 | 0.6136 | 0.7142 | 0.7141    |
+| 1.6998        | 4.0   | 540  | 1.6532          | 0.7753 | 0.6726 | 0.7517 | 0.7518    |
+| 2.6261        | 5.0   | 675  | 2.7877          | 0.6512 | 0.5178 | 0.6319 | 0.6327    |
+| 2.6021        | 6.0   | 810  | 2.4693          | 0.7583 | 0.6397 | 0.7384 | 0.7383    |
+| 2.4839        | 7.0   | 945  | 2.3952          | 0.7914 | 0.6872 | 0.7684 | 0.7682    |
+| 2.4471        | 8.0   | 1080 | 2.3693          | 0.7851 | 0.6768 | 0.7622 | 0.7621    |
+| 2.4298        | 9.0   | 1215 | 2.3654          | 0.7881 | 0.6811 | 0.7649 | 0.7647    |
+| 2.3975        | 10.0  | 1350 | 2.4163          | 0.7884 | 0.6785 | 0.7662 | 0.7660    |
+| 2.4715        | 11.0  | 1485 | 2.4415          | 0.7861 | 0.6745 | 0.7629 | 0.7628    |
+| 2.4541        | 12.0  | 1620 | 2.4401          | 0.7851 | 0.6730 | 0.7621 | 0.7620    |
+| 2.4057        | 13.0  | 1755 | 2.4395          | 0.7856 | 0.6735 | 0.7621 | 0.7619    |
+| 2.4491        | 14.0  | 1890 | 2.4387          | 0.7863 | 0.6739 | 0.7627 | 0.7624    |
+| 2.4713        | 15.0  | 2025 | 2.4379          | 0.7870 | 0.6755 | 0.7635 | 0.7634    |
+| 2.4635        | 16.0  | 2160 | 2.4375          | 0.7865 | 0.6742 | 0.7630 | 0.7628    |
+| 2.4693        | 17.0  | 2295 | 2.4364          | 0.7869 | 0.6749 | 0.7630 | 0.7627    |
+| 2.2091        | 18.0  | 2430 | 2.4366          | 0.7859 | 0.6743 | 0.7629 | 0.7626    |
+| 2.4518        | 19.0  | 2565 | 2.4362          | 0.7866 | 0.6753 | 0.7635 | 0.7635    |
+| 2.4663        | 20.0  | 2700 | 2.4362          | 0.7866 | 0.6744 | 0.7633 | 0.7631    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.1.0+cu118
+- Datasets 3.0.1
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.44.2"
+}

model.safetensors

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+oid sha256:6ffd25794ff497c2f9a8d26dc3f444977ce74d54a201d30f8fc53f610b8acfe6
 size 891644712

tokenizer.json

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   "version": "1.0",
   "truncation": {
     "direction": "Right",
-    "max_length": 128,
+    "max_length": 512,
     "strategy": "LongestFirst",
     "stride": 0
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-  "padding": {
-    "strategy": {
-      "Fixed": 128
-    },
-    "direction": "Right",
-    "pad_to_multiple_of": null,
-    "pad_id": 0,
-    "pad_type_id": 0,
-    "pad_token": "<pad>"
-  },
+  "padding": null,
   "added_tokens": [
     {
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