Upload 14 files
Browse files- README.md +68 -0
- all_results.json +16 -0
- config.json +31 -0
- eval_results.json +10 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +5 -0
- tokenizer.json +0 -0
- tokenizer_config.json +19 -0
- train_results.json +9 -0
- trainer_state.json +98 -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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datasets:
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- wikitext
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metrics:
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- accuracy
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model-index:
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- name: test-plm
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results:
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- task:
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name: Causal Language Modeling
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type: text-generation
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dataset:
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name: wikitext wikitext-2-raw-v1
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type: wikitext
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args: wikitext-2-raw-v1
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.2304371642779472
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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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# test-plm
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This model is a fine-tuned version of [](https://huggingface.co/) on the wikitext wikitext-2-raw-v1 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.6030
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- Accuracy: 0.2304
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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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- 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 4.42.0.dev0
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.2304371642779472,
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"eval_loss": 5.603015422821045,
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"eval_runtime": 359.2844,
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"eval_samples": 2422,
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"eval_samples_per_second": 6.741,
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"eval_steps_per_second": 0.423,
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"perplexity": 271.2430880864446,
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"total_flos": 2.60103732553728e+16,
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"train_loss": 5.880197445605802,
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"train_runtime": 24831.4743,
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"train_samples": 23431,
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"train_samples_per_second": 2.831,
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"train_steps_per_second": 0.177
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}
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config.json
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{
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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_embd": 1024,
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"n_head": 16,
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"n_inner": null,
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"n_layer": 48,
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"n_positions": 102,
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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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"torch_dtype": "float32",
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"transformers_version": "4.42.0.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": 3.0,
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"eval_accuracy": 0.2304371642779472,
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"eval_loss": 5.603015422821045,
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"eval_runtime": 359.2844,
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"eval_steps_per_second": 0.423,
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"perplexity": 271.2430880864446
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}
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generation_config.json
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{
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"eos_token_id": 50256,
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"transformers_version": "4.42.0.dev0"
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:49bd12f93bfe857e2eba635c6ad6d322b6874d52dc4425970703a846583960f8
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size 2624814304
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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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"unk_token": "<|endoftext|>"
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tokenizer.json
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tokenizer_config.json
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train_results.json
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trainer_state.json
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d5259cd8ca30efb60912b86cc9ca7a8404f033aac6987e38fbe2f7f1b5cb7d40
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size 5112
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vocab.json
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