End of training

README.md

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+---
+license: mit
+base_model: facebook/bart-large-xsum
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: reddit_summarization_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. -->
+
+# reddit_summarization_model
+
+This model is a fine-tuned version of [facebook/bart-large-xsum](https://huggingface.co/facebook/bart-large-xsum) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9410
+- Rouge1: 0.4169
+- Rouge2: 0.163
+- Rougel: 0.276
+- Rougelsum: 0.3001
+- Gen Len: 61.6276
+
+## 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: 3
+- eval_batch_size: 3
+- seed: 42
+- gradient_accumulation_steps: 3
+- total_train_batch_size: 9
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.9905        | 1.0   | 972  | 1.8412          | 0.412  | 0.1593 | 0.2725 | 0.2965    | 61.7025 |
+| 1.5293        | 2.0   | 1944 | 1.8022          | 0.4162 | 0.1634 | 0.2766 | 0.2998    | 61.6673 |
+| 1.2934        | 3.0   | 2916 | 1.8352          | 0.4194 | 0.1641 | 0.2789 | 0.3019    | 61.548  |
+| 1.1481        | 4.0   | 3888 | 1.8898          | 0.415  | 0.1623 | 0.2753 | 0.2985    | 61.5825 |
+| 1.04          | 5.0   | 4860 | 1.9410          | 0.4169 | 0.163  | 0.276  | 0.3001    | 61.6276 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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": "4.35.2"
+}

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runs/Dec18_20-12-45_778edbca6a7d/events.out.tfevents.1702930367.778edbca6a7d.203.0

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