init commit
Browse files- README.md +56 -0
- all_results.json +14 -0
- config.json +41 -0
- eval_results.json +9 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +2053 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: argpt2-goodreads
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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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# argpt2-goodreads
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This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4389
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: tpu
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- num_devices: 8
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- total_train_batch_size: 128
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- total_eval_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: linear
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- num_epochs: 20.0
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### Training results
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### Framework versions
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- Transformers 4.13.0.dev0
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- Pytorch 1.10.0+cu102
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- Datasets 1.16.1
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- Tokenizers 0.10.3
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all_results.json
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{
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"epoch": 20.0,
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"eval_loss": 1.438940167427063,
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"eval_runtime": 277.0149,
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"eval_samples": 27329,
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"eval_samples_per_second": 98.655,
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"eval_steps_per_second": 0.773,
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"perplexity": 4.216224955689952,
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"train_loss": 1.4740209875163242,
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"train_runtime": 8294.5138,
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"train_samples": 108110,
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"train_samples_per_second": 260.678,
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"train_steps_per_second": 2.037
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}
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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": "4.13.0.dev0",
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"use_cache": true,
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"vocab_size": 50257
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}
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eval_results.json
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{
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"epoch": 20.0,
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"eval_loss": 1.438940167427063,
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"eval_runtime": 277.0149,
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"eval_samples": 27329,
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"eval_samples_per_second": 98.655,
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"eval_steps_per_second": 0.773,
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"perplexity": 4.216224955689952
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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:dfc83030c315717a319bf0a748d9343d47b1722631f4accfd11b93a1c1ac4c6b
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size 1650414999
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special_tokens_map.json
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{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
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tokenizer.json
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See raw diff
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tokenizer_config.json
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{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2-medium", "tokenizer_class": "GPT2Tokenizer"}
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train_results.json
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{
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"epoch": 20.0,
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"train_loss": 1.4740209875163242,
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"train_runtime": 8294.5138,
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"train_samples": 108110,
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"train_samples_per_second": 260.678,
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"train_steps_per_second": 2.037
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}
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trainer_state.json
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