Commit
·
80e626d
1
Parent(s):
be7ce0f
Add checkpoint
Browse files- README.md +70 -0
- all_results.json +16 -0
- config.json +40 -0
- eval_results.json +10 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +49 -0
- train_results.json +9 -0
- trainer_state.json +189 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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library_name: transformers
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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: NL_50000_41
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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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# NL_50000_41
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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: 4.1997
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- Accuracy: 0.2997
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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: 0.0006
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 41
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 10.0
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- mixed_precision_training: Native AMP
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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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| No log | 1.0 | 848 | 5.4854 | 0.1911 |
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| 1.3692 | 2.0 | 1696 | 4.9672 | 0.2266 |
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| 1.1717 | 3.0 | 2544 | 4.7297 | 0.2465 |
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| 1.0915 | 4.0 | 3392 | 4.5808 | 0.2606 |
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| 1.0455 | 5.0 | 4240 | 4.4883 | 0.2690 |
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| 1.0097 | 6.0 | 5088 | 4.3928 | 0.2784 |
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| 1.0097 | 7.0 | 5936 | 4.3270 | 0.2845 |
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| 0.9791 | 8.0 | 6784 | 4.2612 | 0.2923 |
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| 0.9538 | 9.0 | 7632 | 4.2181 | 0.2984 |
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| 0.9328 | 10.0 | 8480 | 4.1997 | 0.2997 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.5.1+cu121
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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all_results.json
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{
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"epoch": 10.0,
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"eval_accuracy": 0.29974068040064394,
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"eval_loss": 4.199666976928711,
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"eval_runtime": 5.3142,
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"eval_samples": 203,
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"eval_samples_per_second": 38.199,
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"eval_steps_per_second": 1.317,
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"perplexity": 66.66412665164107,
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"total_flos": 7.084149571584e+16,
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"train_loss": 1.060806609099766,
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"train_runtime": 9600.4507,
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"train_samples": 27112,
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"train_samples_per_second": 28.24,
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"train_steps_per_second": 0.883
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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": 1,
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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": 512,
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"pad_token_id": 0,
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"prefix": "<|endoftext|>",
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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": "4.51.3",
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"use_cache": true,
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"vocab_size": 50000
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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": 0.29974068040064394,
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"eval_loss": 4.199666976928711,
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"eval_runtime": 5.3142,
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"eval_samples": 203,
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"eval_samples_per_second": 38.199,
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"eval_steps_per_second": 1.317,
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"perplexity": 66.66412665164107
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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": 1,
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"eos_token_id": 2,
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"pad_token_id": 0,
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"transformers_version": "4.51.3"
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:149e16527a46367173cd7d06598ab3d7ff875a3ecb61c5670703aa01aae1ecc1
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size 495411840
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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": "<|endoftext|>"
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}
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tokenizer.json
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See raw diff
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tokenizer_config.json
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{
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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"3": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"extra_special_tokens": {},
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"max_length": null,
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"model_max_length": 1000000000000000019884624838656,
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"pad_to_multiple_of": null,
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"pad_token": "<pad>",
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"pad_token_type_id": 0,
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"padding_side": "right",
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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": 10.0,
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"total_flos": 7.084149571584e+16,
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"train_loss": 1.060806609099766,
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"train_runtime": 9600.4507,
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"train_samples": 27112,
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"train_samples_per_second": 28.24,
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"train_steps_per_second": 0.883
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}
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trainer_state.json
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{
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"best_global_step": null,
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"best_metric": null,
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"epoch": 10.0,
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"eval_steps": 500,
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"global_step": 8480,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 1.0,
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"eval_accuracy": 0.19114457308667443,
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"eval_loss": 5.485433578491211,
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"eval_runtime": 6.2048,
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"eval_samples_per_second": 32.717,
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"eval_steps_per_second": 1.128,
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"step": 848
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},
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{
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"epoch": 1.179245283018868,
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"grad_norm": 10153.7734375,
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"learning_rate": 0.0005993999999999999,
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"loss": 1.3692,
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"step": 1000
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},
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{
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"epoch": 2.0,
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"eval_accuracy": 0.22659134508786982,
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"eval_loss": 4.967179775238037,
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"eval_runtime": 5.2959,
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"eval_samples_per_second": 38.332,
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"eval_steps_per_second": 1.322,
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"step": 1696
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},
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{
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"epoch": 2.358490566037736,
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"grad_norm": 9826.4130859375,
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"loss": 1.1717,
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"step": 2000
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},
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{
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"epoch": 3.0,
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"eval_accuracy": 0.24649822139531297,
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"eval_loss": 4.729686737060547,
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"eval_runtime": 5.4538,
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"eval_samples_per_second": 37.222,
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