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Duplicate from lionelsh/opt-350m-HorrorCreepyPasta
Browse filesCo-authored-by: shagh <lionelsh@users.noreply.huggingface.co>
- .gitattributes +34 -0
- .gitignore +1 -0
- README.md +59 -0
- config.json +31 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- runs/Apr16_17-45-06_289eb2929221/1681667141.2596865/events.out.tfevents.1681667141.289eb2929221.1350.1 +3 -0
- runs/Apr16_17-45-06_289eb2929221/events.out.tfevents.1681667141.289eb2929221.1350.0 +3 -0
- runs/Apr16_17-45-06_289eb2929221/events.out.tfevents.1681667332.289eb2929221.1350.2 +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +40 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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.gitignore
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checkpoint-*/
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README.md
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---
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license: other
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tags:
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- generated_from_trainer
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model-index:
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- name: opt-350m-HorrorCreepyPasta
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results: []
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duplicated_from: lionelsh/opt-350m-HorrorCreepyPasta
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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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# opt-350m-HorrorCreepyPasta
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2370
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 250 | 3.1713 |
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| 2.8738 | 2.0 | 500 | 3.2044 |
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| 2.8738 | 3.0 | 750 | 3.2370 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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config.json
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{
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"_name_or_path": "facebook/opt-350m",
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"_remove_final_layer_norm": false,
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"OPTForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 2,
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"do_layer_norm_before": false,
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"dropout": 0.1,
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"enable_bias": true,
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"eos_token_id": 2,
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"ffn_dim": 4096,
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"hidden_size": 1024,
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"init_std": 0.02,
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"layer_norm_elementwise_affine": true,
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"layerdrop": 0.0,
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"max_position_embeddings": 2048,
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"model_type": "opt",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"prefix": "</s>",
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"torch_dtype": "float32",
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"transformers_version": "4.28.1",
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"use_cache": true,
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"vocab_size": 50272,
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"word_embed_proj_dim": 512
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}
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generation_config.json
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"transformers_version": "4.28.1"
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}
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merges.txt
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pytorch_model.bin
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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training_args.bin
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vocab.json
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