october-sd
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Training complete
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README.md
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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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- eval_runtime: 48.6922
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- eval_samples_per_second: 50.994
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- eval_steps_per_second: 6.387
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- epoch: 2.08
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- step: 3757
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## Model description
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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:
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### Framework versions
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- Transformers 4.38.
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- Pytorch 2.1.
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- Datasets 2.
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- Tokenizers 0.15.2
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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: 1.9029
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## Model description
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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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 4.1339 | 1.0 | 1803 | 2.2075 |
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| 3.1992 | 2.0 | 3606 | 2.0707 |
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| 3.0189 | 3.0 | 5409 | 2.0077 |
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| 2.9222 | 4.0 | 7212 | 1.9655 |
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| 2.8524 | 5.0 | 9015 | 1.9323 |
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| 2.81 | 6.0 | 10818 | 1.9261 |
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| 2.7811 | 7.0 | 12621 | 1.9078 |
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| 2.7658 | 8.0 | 14424 | 1.9029 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.1.2
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- Datasets 2.15.0
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- Tokenizers 0.15.2
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generation_config.json
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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.
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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": "4.38.1"
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}
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runs/Mar02_08-52-37_fe4a952cef12/events.out.tfevents.1709369575.fe4a952cef12.177.0
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