Instructions to use EvoLenTokenizer/base-200k-sft-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EvoLenTokenizer/base-200k-sft-checkpoints with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EvoLenTokenizer/base-200k-sft-checkpoints")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("EvoLenTokenizer/base-200k-sft-checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
add baseline-200k SFT checkpoint: mouse/2
Browse files
GUE/mouse/2/config.json
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{
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"_name_or_path": "EvoLenTokenizer/base-200k",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_length": 512,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 5120
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}
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GUE/mouse/2/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7afe1c9bf10a9f3eafb63fca476d5664a13dffa006abee374322d644ad71c8e7
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size 359923616
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GUE/mouse/2/special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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GUE/mouse/2/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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GUE/mouse/2/tokenizer_config.json
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{
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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": "[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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"2": {
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"content": "[CLS]",
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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": "[SEP]",
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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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"4": {
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"content": "[MASK]",
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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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"cache_dir": null,
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"model_max_length": 30,
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"pad_token": "[PAD]",
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"padding_side": "right",
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"sep_token": "[SEP]",
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"tokenizer_class": "PreTrainedTokenizerFast",
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"trust_remote_code": true,
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"unk_token": "[UNK]",
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"use_fast": true
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}
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GUE/mouse/2/trainer_state.json
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{
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"best_metric": 0.8566953288403439,
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"best_model_checkpoint": "/home/n5huang/dna_token/mario/best_hp_runs/GUE_task/output_best_gue_base_5120_200k/mouse/2/base_5120_200k/lr3e-5_wd0.01_wr0.06_ep8_seed42\r/checkpoint-105",
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"epoch": 5.0,
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"eval_steps": 100,
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"global_step": 105,
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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": 0.75,
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"eval_f1": 0.7435545385202136,
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"eval_loss": 0.4690381586551666,
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"eval_matthews_correlation": 0.5240990003731415,
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"eval_precision": 0.7757151677299856,
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"eval_recall": 0.7490611637850901,
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"eval_runtime": 0.0734,
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"eval_samples_per_second": 4468.635,
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"eval_steps_per_second": 40.872,
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"step": 21
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},
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{
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"epoch": 2.0,
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"eval_accuracy": 0.8475609756097561,
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"eval_f1": 0.8475383013535625,
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"eval_loss": 0.3496690094470978,
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"eval_matthews_correlation": 0.6951396454874186,
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"eval_precision": 0.8476215271320713,
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| 31 |
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"eval_recall": 0.8475181260457334,
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"eval_runtime": 0.0682,
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"eval_samples_per_second": 4807.36,
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"eval_steps_per_second": 43.97,
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"step": 42
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},
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{
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"epoch": 3.0,
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"eval_accuracy": 0.8384146341463414,
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| 40 |
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"eval_f1": 0.8382928848497251,
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| 41 |
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"eval_loss": 0.3434397876262665,
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| 42 |
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"eval_matthews_correlation": 0.677350773710334,
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| 43 |
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"eval_precision": 0.8390727489564699,
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| 44 |
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"eval_recall": 0.8382784904257297,
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| 45 |
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"eval_runtime": 0.0837,
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| 46 |
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"eval_samples_per_second": 3920.379,
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"eval_steps_per_second": 35.857,
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"step": 63
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},
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{
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"epoch": 4.0,
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"eval_accuracy": 0.8536585365853658,
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"eval_f1": 0.8535223847270292,
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| 54 |
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"eval_loss": 0.42560020089149475,
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| 55 |
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"eval_matthews_correlation": 0.7080625988799476,
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| 56 |
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"eval_precision": 0.8545590154764124,
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"eval_recall": 0.8535043688417921,
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| 58 |
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"eval_runtime": 0.0703,
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| 59 |
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"eval_samples_per_second": 4663.292,
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"eval_steps_per_second": 42.652,
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"step": 84
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},
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{
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"epoch": 4.76,
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"learning_rate": 1.2993630573248408e-05,
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"loss": 0.2825,
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"step": 100
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},
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{
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"epoch": 5.0,
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"eval_accuracy": 0.8567073170731707,
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| 72 |
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"eval_f1": 0.8566953288403439,
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| 73 |
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"eval_loss": 0.4490540325641632,
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| 74 |
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"eval_matthews_correlation": 0.7137889631479755,
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| 75 |
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"eval_precision": 0.8569940476190476,
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| 76 |
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"eval_recall": 0.8567949432980108,
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| 77 |
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"eval_runtime": 0.0824,
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"eval_samples_per_second": 3978.506,
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"eval_steps_per_second": 36.389,
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"step": 105
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}
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],
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"logging_steps": 100,
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"max_steps": 168,
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"num_train_epochs": 8,
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"save_steps": 100,
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"total_flos": 168298575450000.0,
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"trial_name": null,
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"trial_params": null
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}
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GUE/mouse/2/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f3e2251ef3657528986f359d40bb12436087faf7ca6d5810ddd0df8f2db93e53
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size 5457
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