End of training

README.md

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+---
+license: apache-2.0
+base_model: lidiya/bart-large-xsum-samsum
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: cnn_xsum_samsum_model
+  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. -->
+
+# cnn_xsum_samsum_model
+
+This model is a fine-tuned version of [lidiya/bart-large-xsum-samsum](https://huggingface.co/lidiya/bart-large-xsum-samsum) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6585
+- Rouge1: 0.4194
+- Rouge2: 0.1959
+- Rougel: 0.2948
+- Rougelsum: 0.3902
+- Gen Len: 60.8916
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.6501        | 1.0   | 836  | 1.6017          | 0.4143 | 0.194  | 0.2912 | 0.3845    | 60.7718 |
+| 1.3162        | 2.0   | 1672 | 1.5954          | 0.4113 | 0.1908 | 0.2891 | 0.3819    | 61.3206 |
+| 1.1452        | 3.0   | 2508 | 1.5853          | 0.4196 | 0.1964 | 0.2945 | 0.3899    | 60.928  |
+| 1.012         | 4.0   | 3344 | 1.6293          | 0.4201 | 0.1967 | 0.2952 | 0.3911    | 60.7965 |
+| 0.9368        | 5.0   | 4180 | 1.6585          | 0.4194 | 0.1959 | 0.2948 | 0.3902    | 60.8916 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "max_length": 62,
+  "min_length": 11,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 6,
+  "pad_token_id": 1,
+  "transformers_version": "4.38.2"
+}

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runs/Apr02_05-44-09_a4734226051c/events.out.tfevents.1712036650.a4734226051c.417.0

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