Model save
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README.md
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---
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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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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: mt5-small-finetuned-xlsum-ru-en-new-2
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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-xlsum-ru-en-new-2
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0145
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- Rouge1: 20.4759
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- Rouge2: 6.8803
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- Rougel: 16.8811
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- Rougelsum: 16.915
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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: 0.0004
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 4
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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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| 2.8481 | 1.0 | 46096 | 2.2700 | 18.2746 | 5.3316 | 14.9101 | 14.9397 |
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| 2.4194 | 2.0 | 92192 | 2.1316 | 19.6083 | 6.2946 | 16.1841 | 16.2019 |
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| 2.2221 | 3.0 | 138288 | 2.0509 | 20.0895 | 6.5514 | 16.5405 | 16.5662 |
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| 2.143 | 4.0 | 184384 | 2.0145 | 20.4759 | 6.8803 | 16.8811 | 16.915 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu118
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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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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"pad_token_id": 0,
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"transformers_version": "4.38.2"
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}
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model.safetensors
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size 1200729512
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size 1200729512
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runs/Mar20_23-27-35_DESKTOP-2U4BJQD/events.out.tfevents.1710966457.DESKTOP-2U4BJQD.2256.0
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size
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size 17768
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