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: small-dataset-factor
+  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. -->
+
+# small-dataset-factor
+
+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: 1.0342
+- Rouge1: 0.7004
+- Rouge2: 0.5624
+- Rougel: 0.5489
+- Rougelsum: 0.5489
+- Gen Len: 72.0
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- 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   | 1    | 1.4501          | 0.5989 | 0.3974 | 0.493  | 0.493     | 61.5    |
+| No log        | 2.0   | 2    | 1.4501          | 0.5989 | 0.3974 | 0.493  | 0.493     | 61.5    |
+| No log        | 3.0   | 3    | 1.2372          | 0.6418 | 0.459  | 0.5287 | 0.5287    | 66.5    |
+| No log        | 4.0   | 4    | 1.1366          | 0.6293 | 0.4495 | 0.5183 | 0.5183    | 68.0    |
+| No log        | 5.0   | 5    | 1.0768          | 0.6763 | 0.5432 | 0.5941 | 0.5941    | 75.0    |
+| No log        | 6.0   | 6    | 1.0550          | 0.6846 | 0.5503 | 0.5357 | 0.5357    | 74.0    |
+| No log        | 7.0   | 7    | 1.0425          | 0.6846 | 0.5503 | 0.5357 | 0.5357    | 74.0    |
+| No log        | 8.0   | 8    | 1.0342          | 0.7004 | 0.5624 | 0.5489 | 0.5489    | 72.0    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

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": "4.44.2"
+}