Training complete
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/mt5-small
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tags:
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- summarization
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- generated_from_trainer
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model-index:
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- name: mt5-small-finetuned-summarization
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results: []
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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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# mt5-small-finetuned-summarization
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5678
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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: 0.0005
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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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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- lr_scheduler_warmup_steps: 90
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.0615 | 0.128 | 100 | 3.1638 |
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| 3.461 | 0.256 | 200 | 2.8180 |
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| 3.2633 | 0.384 | 300 | 2.7739 |
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| 3.2169 | 0.512 | 400 | 2.6986 |
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| 3.1099 | 0.64 | 500 | 2.6516 |
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| 3.1311 | 0.768 | 600 | 2.6042 |
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| 3.0676 | 0.896 | 700 | 2.5785 |
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### Framework versions
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- Transformers 4.45.1
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- Pytorch 2.4.0
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"length_penalty": 0.6,
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"max_length": 128,
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"num_beams": 15,
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"pad_token_id": 0,
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"transformers_version": "4.45.1"
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}
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runs/Nov04_12-27-18_5b1b841fe348/events.out.tfevents.1730732713.5b1b841fe348.30.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:299aab07b0dd6be71352b128553fb2e6f6db9e39e0d01646ae18a00245a4b3ee
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size 359
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