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Browse files- README.md +53 -0
- all_results.json +8 -0
- config.json +1 -1
- pytorch_model.bin +1 -1
- rng_state.pth +0 -3
- scheduler.pt +0 -3
- tokenizer_config.json +1 -1
- train_results.json +8 -0
- trainer_state.json +0 -0
- training_args.bin +1 -1
README.md
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---
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language:
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- input
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- output
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tags:
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- generated_from_trainer
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model-index:
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- name: t5-skills
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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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# t5-skills
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This model is a fine-tuned version of [flozi00/t5-skills](https://huggingface.co/flozi00/t5-skills) on the None dataset.
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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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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: 3.0
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### Training results
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### Framework versions
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- Transformers 4.12.0.dev0
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- Pytorch 1.8.1
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- Datasets 1.14.0
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- Tokenizers 0.10.2
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all_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.00022401868770512018,
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"train_runtime": 3245.5993,
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"train_samples": 138441,
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"train_samples_per_second": 127.965,
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"train_steps_per_second": 4.0
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}
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config.json
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{
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"_name_or_path": "flozi00/t5-
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"architectures": [
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"T5ForConditionalGeneration"
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{
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"_name_or_path": "flozi00/t5-skills",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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pytorch_model.bin
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train_results.json
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trainer_state.json
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