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: tf/1
Browse files- GUE/tf/1/config.json +27 -0
- GUE/tf/1/model.safetensors +3 -0
- GUE/tf/1/special_tokens_map.json +7 -0
- GUE/tf/1/tokenizer.json +0 -0
- GUE/tf/1/tokenizer_config.json +56 -0
- GUE/tf/1/trainer_state.json +100 -0
- GUE/tf/1/training_args.bin +3 -0
GUE/tf/1/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/tf/1/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:aa59224116725e97cba33f32ca2bde23217f4d0c18d2721c67f1cdc37f742abe
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size 359923616
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GUE/tf/1/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/tf/1/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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GUE/tf/1/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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| 49 |
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"pad_token": "[PAD]",
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| 50 |
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"padding_side": "right",
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| 51 |
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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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| 54 |
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"unk_token": "[UNK]",
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"use_fast": true
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}
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GUE/tf/1/trainer_state.json
ADDED
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{
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| 2 |
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"best_metric": 0.7640635683025929,
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| 3 |
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"best_model_checkpoint": "/home/n5huang/dna_token/mario/best_hp_runs/GUE_task/output_best_gue_base_5120_200k/tf/1/base_5120_200k/lr3e-5_wd0.0_wr0.06_ep8_seed42\r/checkpoint-720",
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| 4 |
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"epoch": 3.0,
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| 5 |
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"eval_steps": 100,
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| 6 |
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"global_step": 720,
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| 7 |
+
"is_hyper_param_search": false,
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| 8 |
+
"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
+
"log_history": [
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| 11 |
+
{
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| 12 |
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"epoch": 0.42,
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| 13 |
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"learning_rate": 2.586206896551724e-05,
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| 14 |
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"loss": 0.5669,
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| 15 |
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"step": 100
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| 16 |
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},
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| 17 |
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{
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| 18 |
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"epoch": 0.83,
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| 19 |
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"learning_rate": 2.8603104212860313e-05,
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| 20 |
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"loss": 0.5,
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| 21 |
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"step": 200
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| 22 |
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},
|
| 23 |
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{
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| 24 |
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"epoch": 1.0,
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| 25 |
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"eval_accuracy": 0.758,
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| 26 |
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"eval_f1": 0.7561113261093911,
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"eval_loss": 0.5009490847587585,
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"eval_matthews_correlation": 0.5264775087287643,
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| 29 |
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"eval_precision": 0.767802729199788,
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| 30 |
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"eval_recall": 0.7587525601638505,
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"eval_runtime": 0.1678,
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| 32 |
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"eval_samples_per_second": 5960.934,
|
| 33 |
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"eval_steps_per_second": 47.687,
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| 34 |
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"step": 240
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| 35 |
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},
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| 36 |
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{
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| 37 |
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"epoch": 1.25,
|
| 38 |
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"learning_rate": 2.6940133037694013e-05,
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| 39 |
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| 41 |
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},
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| 42 |
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{
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| 43 |
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|
| 44 |
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| 47 |
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},
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| 48 |
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{
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| 49 |
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"epoch": 2.0,
|
| 50 |
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"eval_accuracy": 0.764,
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| 51 |
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"eval_f1": 0.7638857206888134,
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"eval_loss": 0.48274871706962585,
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"eval_matthews_correlation": 0.5291488035776915,
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"eval_precision": 0.7649243554571561,
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| 55 |
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"eval_recall": 0.7642249103942653,
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"eval_runtime": 0.1563,
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"eval_samples_per_second": 6399.268,
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| 58 |
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"eval_steps_per_second": 51.194,
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| 59 |
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"step": 480
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| 60 |
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},
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| 61 |
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{
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| 62 |
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"epoch": 2.08,
|
| 63 |
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"learning_rate": 2.361419068736142e-05,
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| 64 |
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| 65 |
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"step": 500
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| 66 |
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},
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| 67 |
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{
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| 68 |
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"epoch": 2.5,
|
| 69 |
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"learning_rate": 2.195121951219512e-05,
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| 70 |
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"loss": 0.4096,
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| 71 |
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"step": 600
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| 72 |
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},
|
| 73 |
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{
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| 74 |
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"epoch": 2.92,
|
| 75 |
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"learning_rate": 2.0288248337028824e-05,
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| 76 |
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"loss": 0.4159,
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| 77 |
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"step": 700
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| 78 |
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},
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| 79 |
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{
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| 80 |
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"epoch": 3.0,
|
| 81 |
+
"eval_accuracy": 0.765,
|
| 82 |
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"eval_f1": 0.7640635683025929,
|
| 83 |
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"eval_loss": 0.47934937477111816,
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| 84 |
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"eval_matthews_correlation": 0.5327952539921941,
|
| 85 |
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"eval_precision": 0.7682632981636304,
|
| 86 |
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"eval_recall": 0.7645449308755761,
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| 87 |
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"eval_runtime": 0.1653,
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| 88 |
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"eval_samples_per_second": 6049.707,
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| 89 |
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"eval_steps_per_second": 48.398,
|
| 90 |
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"step": 720
|
| 91 |
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}
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| 92 |
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],
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| 93 |
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"logging_steps": 100,
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| 94 |
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"max_steps": 1920,
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| 95 |
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"num_train_epochs": 8,
|
| 96 |
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"save_steps": 100,
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| 97 |
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"total_flos": 1324007719453440.0,
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| 98 |
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"trial_name": null,
|
| 99 |
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"trial_params": null
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| 100 |
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}
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GUE/tf/1/training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:58e9504902a286da6ade47c1a259c302291f5e7e9e9dde5df8d9e10f701f5824
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| 3 |
+
size 5457
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