Upload folder using huggingface_hub
Browse files- README.md +68 -0
- all_results.json +15 -0
- config.json +40 -0
- eval_results.json +10 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +11 -0
- train_results.json +8 -0
- trainer_state.json +499 -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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metrics:
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- accuracy
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model-index:
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- name: GPT2_more_function_53
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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_more_function_53
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 4.3533
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- Accuracy: 0.2671
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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: 0.0001
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- train_batch_size: 128
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- eval_batch_size: 128
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- seed: 53
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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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- lr_scheduler_warmup_steps: 10000
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 5.6324 | 1.0 | 6417 | 5.4069 | 0.1901 |
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| 4.9863 | 2.0 | 12834 | 4.8399 | 0.2250 |
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| 4.7128 | 3.0 | 19251 | 4.6418 | 0.2408 |
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| 4.5849 | 4.0 | 25668 | 4.5399 | 0.2498 |
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| 4.485 | 5.0 | 32085 | 4.4786 | 0.2551 |
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| 4.4117 | 6.0 | 38502 | 4.4334 | 0.2588 |
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| 4.3507 | 7.0 | 44919 | 4.4014 | 0.2623 |
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| 4.2955 | 8.0 | 51336 | 4.3777 | 0.2646 |
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| 4.2474 | 9.0 | 57753 | 4.3611 | 0.2660 |
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| 4.2047 | 10.0 | 64170 | 4.3533 | 0.2671 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.9.1+cu128
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- Datasets 4.1.1
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- Tokenizers 0.13.3
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.267075394201679,
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"eval_loss": 4.353286266326904,
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| 5 |
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"eval_runtime": 1.9498,
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| 6 |
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"eval_samples": 1179,
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| 7 |
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"eval_samples_per_second": 604.666,
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| 8 |
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"eval_steps_per_second": 5.129,
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| 9 |
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"perplexity": 77.73349661382329,
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| 10 |
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"train_loss": 4.69663484373326,
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| 11 |
+
"train_runtime": 28007.947,
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| 12 |
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"train_samples": 821300,
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| 13 |
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"train_samples_per_second": 293.238,
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"train_steps_per_second": 2.291
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}
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config.json
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{
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"_name_or_path": "models/GPT2_more_function_53",
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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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| 8 |
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"bos_token_id": 2,
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| 9 |
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"embd_pdrop": 0.1,
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"eos_token_id": 2,
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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": 768,
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"n_head": 12,
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 128,
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"pad_token_id": 1,
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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": "4.30.2",
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"use_cache": true,
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"vocab_size": 32768
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.267075394201679,
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| 4 |
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"eval_loss": 4.353286266326904,
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| 5 |
+
"eval_runtime": 1.9498,
|
| 6 |
+
"eval_samples": 1179,
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| 7 |
+
"eval_samples_per_second": 604.666,
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| 8 |
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"eval_steps_per_second": 5.129,
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| 9 |
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"perplexity": 77.73349661382329
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| 10 |
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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": 2,
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| 4 |
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"eos_token_id": 2,
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| 5 |
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"pad_token_id": 1,
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"transformers_version": "4.30.2"
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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:b282d71743b09ea30ce9c16607d3a96ef9b39879055d442dfdb47f56dd379e11
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size 441329395
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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": "<pad>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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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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| 4 |
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"clean_up_tokenization_spaces": true,
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| 5 |
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"eos_token": "<|endoftext|>",
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| 6 |
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"model_max_length": 1000000000000000019884624838656,
|
| 7 |
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"pad_token": "<pad>",
|
| 8 |
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"token": null,
|
| 9 |
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"tokenizer_class": "PreTrainedTokenizerFast",
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| 10 |
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"unk_token": "<unk>"
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| 11 |
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}
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train_results.json
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{
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| 2 |
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"epoch": 10.0,
|
| 3 |
+
"train_loss": 4.69663484373326,
|
| 4 |
+
"train_runtime": 28007.947,
|
| 5 |
+
"train_samples": 821300,
|
| 6 |
+
"train_samples_per_second": 293.238,
|
| 7 |
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"train_steps_per_second": 2.291
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| 8 |
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}
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trainer_state.json
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