End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: facebook/bart-large-cnn
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: Bart-CNN-dataset
+  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. -->
+
+# Bart-CNN-dataset
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2222
+- Rouge1: 0.4398
+- Rouge2: 0.1996
+- Rougel: 0.2964
+- Rougelsum: 0.4096
+- Gen Len: 95.364
+
+## 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: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 8
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 250  | 1.4136          | 0.4361 | 0.2058 | 0.2957 | 0.4075    | 99.678  |
+| 1.3139        | 2.0   | 500  | 1.4521          | 0.444  | 0.2085 | 0.3035 | 0.4138    | 90.808  |
+| 1.3139        | 3.0   | 750  | 1.5573          | 0.4409 | 0.2046 | 0.2945 | 0.4102    | 100.502 |
+| 0.7471        | 4.0   | 1000 | 1.6873          | 0.4429 | 0.205  | 0.2985 | 0.4119    | 96.34   |
+| 0.7471        | 5.0   | 1250 | 1.8544          | 0.4395 | 0.2016 | 0.2964 | 0.409     | 100.1   |
+| 0.4392        | 6.0   | 1500 | 2.0239          | 0.4407 | 0.2012 | 0.2946 | 0.4085    | 97.476  |
+| 0.4392        | 7.0   | 1750 | 2.1492          | 0.4409 | 0.199  | 0.2947 | 0.4101    | 94.41   |
+| 0.2886        | 8.0   | 2000 | 2.2222          | 0.4398 | 0.1996 | 0.2964 | 0.4096    | 95.364  |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_bos_token_id": 0,
+  "forced_eos_token_id": 2,
+  "length_penalty": 2.0,
+  "max_length": 142,
+  "min_length": 56,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.46.3"
+}

runs/Dec06_03-28-57_09447543e37d/events.out.tfevents.1733455739.09447543e37d.424.0

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