Instructions to use harsith05/imdbdata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harsith05/imdbdata with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harsith05/imdbdata")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harsith05/imdbdata") model = AutoModelForSequenceClassification.from_pretrained("harsith05/imdbdata", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1, checkpoint
Browse files- last-checkpoint/config.json +34 -0
- last-checkpoint/model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scaler.pt +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +7 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +56 -0
- last-checkpoint/trainer_state.json +63 -0
- last-checkpoint/training_args.bin +3 -0
- last-checkpoint/vocab.txt +0 -0
last-checkpoint/config.json
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{
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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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"dtype": "float32",
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"gradient_checkpointing": false,
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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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"id2label": {
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"0": "positive",
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"1": "Negative"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Negative": 1,
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"positive": 0
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},
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"layer_norm_eps": 1e-12,
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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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"transformers_version": "4.57.6",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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last-checkpoint/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9c36b6ccd06ef6f3eb7fd5bc05a6d5b59ac5bcf24bbab132ffd8c7697ec6932
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size 437958648
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last-checkpoint/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:31686a4203c6609e8e6d1cefe391345bfcedeb69e37b86938c4c18b48ee7ca0e
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size 15132
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last-checkpoint/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:7fde5d78d467270e6f38169a48e70e420d3afe1146078e423f8499685461bf22
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size 14244
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last-checkpoint/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:713ce80c4477b3cfcc8aacd01e948331f6b151bcde4f5963a683f54fa49aa3e3
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size 988
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last-checkpoint/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:08310ba03a71cba3080ae5cac15ca472b7eb75a918bf10a61ba4d46caf923ed7
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size 1064
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last-checkpoint/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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last-checkpoint/tokenizer.json
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last-checkpoint/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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"100": {
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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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"101": {
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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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"102": {
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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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"103": {
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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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"clean_up_tokenization_spaces": false,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"extra_special_tokens": {},
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| 48 |
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"mask_token": "[MASK]",
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| 49 |
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"model_max_length": 512,
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| 50 |
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"pad_token": "[PAD]",
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| 51 |
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"sep_token": "[SEP]",
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| 52 |
+
"strip_accents": null,
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| 53 |
+
"tokenize_chinese_chars": true,
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| 54 |
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"tokenizer_class": "BertTokenizer",
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| 55 |
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"unk_token": "[UNK]"
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| 56 |
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}
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last-checkpoint/trainer_state.json
ADDED
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{
|
| 2 |
+
"best_global_step": 1563,
|
| 3 |
+
"best_metric": 0.6799984574317932,
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| 4 |
+
"best_model_checkpoint": "./bert-imdb-cp\\checkpoint-1563",
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| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1563,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.3198976327575176,
|
| 14 |
+
"grad_norm": 1.363720417022705,
|
| 15 |
+
"learning_rate": 9.980000000000001e-06,
|
| 16 |
+
"loss": 0.7124,
|
| 17 |
+
"step": 500
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.6397952655150352,
|
| 21 |
+
"grad_norm": 3.833448648452759,
|
| 22 |
+
"learning_rate": 9.317840054682162e-06,
|
| 23 |
+
"loss": 0.6965,
|
| 24 |
+
"step": 1000
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.9596928982725528,
|
| 28 |
+
"grad_norm": 3.1018316745758057,
|
| 29 |
+
"learning_rate": 8.634313055365687e-06,
|
| 30 |
+
"loss": 0.6864,
|
| 31 |
+
"step": 1500
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 1.0,
|
| 35 |
+
"eval_loss": 0.6799984574317932,
|
| 36 |
+
"eval_runtime": 271.586,
|
| 37 |
+
"eval_samples_per_second": 92.052,
|
| 38 |
+
"eval_steps_per_second": 5.755,
|
| 39 |
+
"step": 1563
|
| 40 |
+
}
|
| 41 |
+
],
|
| 42 |
+
"logging_steps": 500,
|
| 43 |
+
"max_steps": 7815,
|
| 44 |
+
"num_input_tokens_seen": 0,
|
| 45 |
+
"num_train_epochs": 5,
|
| 46 |
+
"save_steps": 500,
|
| 47 |
+
"stateful_callbacks": {
|
| 48 |
+
"TrainerControl": {
|
| 49 |
+
"args": {
|
| 50 |
+
"should_epoch_stop": false,
|
| 51 |
+
"should_evaluate": false,
|
| 52 |
+
"should_log": false,
|
| 53 |
+
"should_save": true,
|
| 54 |
+
"should_training_stop": false
|
| 55 |
+
},
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| 56 |
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"attributes": {}
|
| 57 |
+
}
|
| 58 |
+
},
|
| 59 |
+
"total_flos": 6515172397265280.0,
|
| 60 |
+
"train_batch_size": 16,
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| 61 |
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"trial_name": null,
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| 62 |
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"trial_params": null
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| 63 |
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}
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last-checkpoint/training_args.bin
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:bb5f76d7c9e18d0e133606c450598e25e8558beb9c4c2be80a228255702975b0
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| 3 |
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size 5432
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last-checkpoint/vocab.txt
ADDED
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The diff for this file is too large to render.
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