Training complete
Browse files
README.md
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---
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base_model: google/pegasus-x-large
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tags:
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- summarization
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- generated_from_trainer
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datasets:
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- samsum
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metrics:
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- rouge
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model-index:
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- name: pegasus-x-large-finetuned-samsum1000-1
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results:
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- task:
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name: Sequence-to-sequence Language Modeling
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type: text2text-generation
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dataset:
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name: samsum
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type: samsum
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config: samsum
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split: validation
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args: samsum
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metrics:
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- name: Rouge1
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type: rouge
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value: 47.1327
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# pegasus-x-large-finetuned-samsum1000-1
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This model is a fine-tuned version of [google/pegasus-x-large](https://huggingface.co/google/pegasus-x-large) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4703
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- Rouge1: 47.1327
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- Rouge2: 22.7028
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- Rougel: 39.9245
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- Rougelsum: 43.0906
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5.6e-05
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- train_batch_size: 2
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- eval_batch_size: 1
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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| 1.7687 | 1.0 | 500 | 1.4703 | 47.1327 | 22.7028 | 39.9245 | 43.0906 |
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### Framework versions
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- Transformers 4.37.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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generation_config.json
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{
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"bos_token_id": 0,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"forced_eos_token_id": 1,
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"length_penalty": 0.8,
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"max_length": 16384,
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"num_beams": 8,
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"pad_token_id": 0,
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"transformers_version": "4.37.1"
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}
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runs/Jan28_19-46-56_9d3cc6358eaa/events.out.tfevents.1706471221.9d3cc6358eaa.2356.0
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:46bc2ca33d7a0a4de062f893807410ce52f273b1700db1b17a3aa07af30d0314
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size 6394
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