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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/flan-t5-xl |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: flan-t5-xl-summary-map-reduce-1024 |
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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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# flan-t5-xl-summary-map-reduce-1024 |
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This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6038 |
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- Num Input Tokens Seen: 6895203 |
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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: 8e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 17868 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 64 |
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- optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 2.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:----:|:---------------:|:-----------------:| |
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| 0.8172 | 0.3851 | 100 | 0.6644 | 1364870 | |
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| 0.7664 | 0.7702 | 200 | 0.6271 | 2744502 | |
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| 0.6584 | 1.1552 | 300 | 0.6146 | 4137699 | |
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| 0.6348 | 1.5403 | 400 | 0.6049 | 5518719 | |
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| 0.6372 | 1.9254 | 500 | 0.6038 | 6895203 | |
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### Framework versions |
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- Transformers 4.46.0.dev0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.2 |
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