End of training

README.md

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+---
+base_model: google/pegasus-cnn_dailymail
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- precision
+- recall
+- f1
+model-index:
+- name: LLM_Teached_PEGASUS_CNNDM
+  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. -->
+
+# LLM_Teached_PEGASUS_CNNDM
+
+This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8217
+- Rouge1: 0.4508
+- Rouge2: 0.1963
+- Rougel: 0.332
+- Rougelsum: 0.3319
+- Gen Len: 48.3173
+- Precision: 0.9046
+- Recall: 0.9045
+- F1: 0.9044
+
+## 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: 8
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:---------:|:------:|:------:|
+| 2.1425        | 1.0   | 625  | 1.8475          | 0.4458 | 0.193  | 0.3283 | 0.3284    | 48.1127 | 0.9038    | 0.9037 | 0.9036 |
+| 1.9247        | 2.0   | 1250 | 1.8217          | 0.4508 | 0.1963 | 0.332  | 0.3319    | 48.3173 | 0.9046    | 0.9045 | 0.9044 |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.15.0

generation_config.json

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+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "forced_eos_token_id": 1,
+  "length_penalty": 0.8,
+  "max_length": 128,
+  "min_length": 32,
+  "num_beams": 8,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.0"
+}

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