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: Abmiguity-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. -->
+
+# Abmiguity-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: 0.8537
+- Rouge1: 0.5239
+- Rouge2: 0.2727
+- Rougel: 0.3876
+- Rougelsum: 0.3876
+- Gen Len: 90.5
+
+## 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    | 1.2998          | 0.3903 | 0.1429 | 0.2699 | 0.2699    | 69.0    |
+| No log        | 2.0   | 2    | 1.1258          | 0.4737 | 0.202  | 0.3449 | 0.3449    | 77.0    |
+| No log        | 3.0   | 3    | 1.0220          | 0.4627 | 0.2003 | 0.3372 | 0.3372    | 87.5    |
+| No log        | 4.0   | 4    | 0.9522          | 0.472  | 0.2042 | 0.3429 | 0.3429    | 85.5    |
+| No log        | 5.0   | 5    | 0.9162          | 0.4951 | 0.2238 | 0.3814 | 0.3814    | 95.0    |
+| No log        | 6.0   | 6    | 0.8882          | 0.4951 | 0.2238 | 0.3814 | 0.3814    | 95.0    |
+| No log        | 7.0   | 7    | 0.8659          | 0.5171 | 0.2652 | 0.4122 | 0.4122    | 97.5    |
+| No log        | 8.0   | 8    | 0.8537          | 0.5239 | 0.2727 | 0.3876 | 0.3876    | 90.5    |
+
+
+### 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"
+}