Andyrasika
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Browse files- README.md +59 -1
- checkpoint-1300/config.json +46 -0
- checkpoint-1300/generation_config.json +6 -0
- checkpoint-1300/optimizer.pt +3 -0
- checkpoint-1300/pytorch_model.bin +3 -0
- checkpoint-1300/rng_state.pth +3 -0
- checkpoint-1300/scheduler.pt +3 -0
- checkpoint-1300/trainer_state.json +183 -0
- checkpoint-1300/training_args.bin +3 -0
- checkpoint-2600/config.json +46 -0
- checkpoint-2600/generation_config.json +6 -0
- checkpoint-2600/optimizer.pt +3 -0
- checkpoint-2600/pytorch_model.bin +3 -0
- checkpoint-2600/rng_state.pth +3 -0
- checkpoint-2600/scheduler.pt +3 -0
- checkpoint-2600/trainer_state.json +347 -0
- checkpoint-2600/training_args.bin +3 -0
- checkpoint-3900/config.json +46 -0
- checkpoint-3900/generation_config.json +6 -0
- checkpoint-3900/optimizer.pt +3 -0
- checkpoint-3900/pytorch_model.bin +3 -0
- checkpoint-3900/rng_state.pth +3 -0
- checkpoint-3900/scheduler.pt +3 -0
- checkpoint-3900/trainer_state.json +511 -0
- checkpoint-3900/training_args.bin +3 -0
- config.json +46 -0
- generation_config.json +6 -0
- pytorch_model.bin +3 -0
- training_args.bin +3 -0
README.md
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---
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-
license:
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---
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---
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license: apache-2.0
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base_model: distilgpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: gpt2_dolly_lite
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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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# gpt2_dolly_lite
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4067
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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: 8
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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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
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.708 | 1.0 | 1300 | 2.5611 |
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| 2.1768 | 2.0 | 2600 | 2.4149 |
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| 1.7189 | 3.0 | 3900 | 2.4067 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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checkpoint-1300/config.json
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"architectures": [
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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"torch_dtype": "float32",
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}
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