commit from Mikivis
Browse files- README copy.md +57 -0
- all_results.json +8 -0
- config.json +39 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +9 -0
- train_results.json +8 -0
- trainer_state.json +2320 -0
- vocab.json +0 -0
README copy.md
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+
---
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+
base_model: output_models/gpt2-large-news2
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tags:
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- generated_from_trainer
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datasets:
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- customized
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model-index:
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- name: gpt2-large-imdb3
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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-large-imdb3
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This model is a fine-tuned version of [output_models/gpt2-large-news2](https://huggingface.co/output_models/gpt2-large-news2) on the customized 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: 0.0003
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 6
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- total_train_batch_size: 6
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- total_eval_batch_size: 48
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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 4.32.1
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- Pytorch 2.0.1+cu117
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- Datasets 2.10.1
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- Tokenizers 0.13.3
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all_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.20408990072201288,
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"train_runtime": 3001.4526,
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| 5 |
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"train_samples": 15311,
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| 6 |
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"train_samples_per_second": 15.304,
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| 7 |
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"train_steps_per_second": 2.551
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}
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config.json
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{
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"_name_or_path": "output_models/gpt2-large-news2",
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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": 1280,
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"n_head": 20,
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"n_inner": null,
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"n_layer": 36,
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"n_positions": 1024,
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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": "float16",
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"transformers_version": "4.32.1",
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"use_cache": true,
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"vocab_size": 50257
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.32.1"
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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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:f08c06071c4ffcbcec65be8b75bfa6980004ae929a01aba1acb3f139446ab5ed
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size 1548202525
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special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 1024,
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "<|endoftext|>"
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}
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.20408990072201288,
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"train_runtime": 3001.4526,
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| 5 |
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"train_samples": 15311,
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"train_samples_per_second": 15.304,
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"train_steps_per_second": 2.551
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}
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trainer_state.json
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