End of training
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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: reviews_sum
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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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# reviews_sum
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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: 2.0170
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- Rouge1: 0.0504
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- Rouge2: 0.0084
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- Rougel: 0.0504
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- Rougelsum: 0.0509
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- Gen Len: 18.9926
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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: 0.001
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- train_batch_size: 4
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- eval_batch_size: 4
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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 | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 395 | 2.3024 | 0.0302 | 0.009 | 0.03 | 0.0297 | 19.0 |
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| 3.3394 | 2.0 | 790 | 2.1111 | 0.0527 | 0.008 | 0.0515 | 0.0517 | 19.0 |
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| 2.2973 | 3.0 | 1185 | 2.0537 | 0.0455 | 0.0058 | 0.0455 | 0.0452 | 19.0 |
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| 2.0317 | 4.0 | 1580 | 2.0170 | 0.0504 | 0.0084 | 0.0504 | 0.0509 | 18.9926 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.0.0
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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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": "4.35.0"
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}
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model.safetensors
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runs/Dec04_12-13-48_726b58c35256/events.out.tfevents.1701692034.726b58c35256.47.0
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