Model save

README.md

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+---
+base_model: google/pegasus-xsum
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: pegasus-xsum-finetuned-cnn_dailymail
+  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. -->
+
+# pegasus-xsum-finetuned-cnn_dailymail
+
+This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8958
+- Rouge1: 45.7795
+- Rouge2: 23.3182
+- Rougel: 32.9241
+- Rougelsum: 42.3126
+- Bleu 1: 35.4715
+- Bleu 2: 24.0726
+- Bleu 3: 17.9591
+- Meteor: 32.8897
+- Lungime rezumat: 43.3773
+- Lungime original: 48.6937
+
+## 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: 5.6e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu 1  | Bleu 2  | Bleu 3  | Meteor  | Lungime rezumat | Lungime original |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:-------:|:---------------:|:----------------:|
+| 1.1281        | 1.0   | 14330 | 0.9373          | 44.64   | 22.2111 | 32.0228 | 41.1223   | 34.4946 | 23.079  | 17.0673 | 31.8685 | 43.543          | 48.6937          |
+| 0.9091        | 2.0   | 28660 | 0.9095          | 45.0713 | 22.7428 | 32.4247 | 41.554    | 34.9397 | 23.5631 | 17.5094 | 32.1814 | 43.3467         | 48.6937          |
+| 0.8455        | 3.0   | 42990 | 0.8982          | 45.5457 | 23.1315 | 32.7153 | 42.0349   | 35.2659 | 23.8773 | 17.8174 | 32.7185 | 43.5743         | 48.6937          |
+| 0.8076        | 4.0   | 57320 | 0.8958          | 45.7795 | 23.3182 | 32.9241 | 42.3126   | 35.4715 | 24.0726 | 17.9591 | 32.8897 | 43.3773         | 48.6937          |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.2+cu118
+- Datasets 2.19.0
+- Tokenizers 0.19.1

generation_config.json

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+{
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+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "forced_eos_token_id": 1,
+  "length_penalty": 0.6,
+  "max_length": 64,
+  "num_beams": 8,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.0"
+}

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runs/May08_01-12-29_DESKTOP-I570M0U/events.out.tfevents.1715119951.DESKTOP-I570M0U.76844.0

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