adding model files
Browse files- .gitignore +1 -0
- README.md +62 -0
- config.json +41 -0
- pytorch_model.bin +3 -0
- trainer_state.json +2887 -0
- training_args.bin +3 -0
.gitignore
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checkpoint-*/
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: gpt2-medium-emailgen_DS-multi-clean-100k_Ep-3_Bs-16
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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-medium-emailgen_DS-multi-clean-100k_Ep-3_Bs-16
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This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5840
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.02
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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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| 1.8701 | 1.0 | 789 | 1.8378 |
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| 1.5065 | 2.0 | 1578 | 1.6176 |
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| 1.1873 | 3.0 | 2367 | 1.5840 |
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### Framework versions
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- Transformers 4.22.2
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- Pytorch 1.10.0+cu113
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- Datasets 2.5.1
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- Tokenizers 0.12.1
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config.json
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{
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"_name_or_path": "gpt2-medium",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 50256,
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 1024,
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"n_head": 16,
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"n_inner": null,
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"n_layer": 24,
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"n_positions": 1024,
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"n_special": 0,
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"predict_special_tokens": true,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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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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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.22.2",
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"use_cache": false,
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"vocab_size": 50257
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c96bfc8f0d48bcfdb8c6eaa8bad49bb0ecf584b28fa6feccdbc6c141a3c4945a
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size 1444566873
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trainer_state.json
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training_args.bin
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