Model save

README.md

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+---
+base_model: google/pegasus-large
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: pegasus-large-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-large-finetuned-cnn_dailymail
+
+This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5155
+- Rouge1: 53.2323
+- Rouge2: 38.6836
+- Rougel: 41.8756
+- Rougelsum: 50.7526
+- Bleu 1: 39.2946
+- Bleu 2: 33.2337
+- Bleu 3: 30.2125
+- Meteor: 40.4525
+- Compression rate: 1.4202
+
+## 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: 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: 6
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu 1  | Bleu 2  | Bleu 3  | Meteor  | Compression rate |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:-------:|:-------:|:-------:|:----------------:|
+| 1.1676        | 1.0   | 5000  | 0.4626          | 58.2243 | 46.8729 | 49.6754 | 56.3425   | 45.8036 | 41.0494 | 38.8167 | 47.5864 | 1.3223           |
+| 0.8474        | 2.0   | 10000 | 0.4951          | 51.7813 | 37.5081 | 40.999  | 49.3373   | 38.9702 | 32.8144 | 30.0222 | 39.7542 | 1.3725           |
+| 0.7632        | 3.0   | 15000 | 0.4712          | 54.9872 | 41.6279 | 44.557  | 52.6927   | 42.0867 | 36.3443 | 33.5877 | 43.0071 | 1.3649           |
+| 0.7009        | 4.0   | 20000 | 0.4875          | 54.5016 | 40.85   | 44.0557 | 52.0705   | 40.2939 | 34.6751 | 31.8994 | 41.8203 | 1.4397           |
+| 0.6563        | 5.0   | 25000 | 0.5036          | 52.3997 | 37.6472 | 41.0743 | 49.8349   | 38.2882 | 32.1617 | 29.1582 | 39.4024 | 1.441            |
+| 0.6274        | 6.0   | 30000 | 0.5155          | 53.2323 | 38.6836 | 41.8756 | 50.7526   | 39.2946 | 33.2337 | 30.2125 | 40.4525 | 1.4202           |
+
+
+### 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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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "forced_eos_token_id": 1,
+  "length_penalty": 0.8,
+  "max_length": 256,
+  "num_beams": 8,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.0"
+}

model.safetensors

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 size 2283652852

runs/Apr28_01-10-22_DESKTOP-I570M0U/events.out.tfevents.1714255824.DESKTOP-I570M0U.2571.0

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