Instructions to use Artanis1551/bert_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Artanis1551/bert_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Artanis1551/bert_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Artanis1551/bert_trainer") model = AutoModelForSequenceClassification.from_pretrained("Artanis1551/bert_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
351a4ac
1
Parent(s): 40f220b
End of training
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- README.md +57 -0
- config.json +41 -0
- model.safetensors +3 -0
- run-0/checkpoint-2500/config.json +41 -0
- run-0/checkpoint-2500/model.safetensors +3 -0
- run-0/checkpoint-2500/optimizer.pt +3 -0
- run-0/checkpoint-2500/rng_state.pth +3 -0
- run-0/checkpoint-2500/scheduler.pt +3 -0
- run-0/checkpoint-2500/trainer_state.json +714 -0
- run-0/checkpoint-2500/training_args.bin +3 -0
- run-0/checkpoint-2750/config.json +41 -0
- run-0/checkpoint-2750/model.safetensors +3 -0
- run-0/checkpoint-2750/optimizer.pt +3 -0
- run-0/checkpoint-2750/rng_state.pth +3 -0
- run-0/checkpoint-2750/scheduler.pt +3 -0
- run-0/checkpoint-2750/trainer_state.json +783 -0
- run-0/checkpoint-2750/training_args.bin +3 -0
- run-0/checkpoint-3000/config.json +41 -0
- run-0/checkpoint-3000/model.safetensors +3 -0
- run-0/checkpoint-3000/optimizer.pt +3 -0
- run-0/checkpoint-3000/rng_state.pth +3 -0
- run-0/checkpoint-3000/scheduler.pt +3 -0
- run-0/checkpoint-3000/trainer_state.json +852 -0
- run-0/checkpoint-3000/training_args.bin +3 -0
- run-1/checkpoint-2000/config.json +41 -0
- run-1/checkpoint-2000/model.safetensors +3 -0
- run-1/checkpoint-2000/optimizer.pt +3 -0
- run-1/checkpoint-2000/rng_state.pth +3 -0
- run-1/checkpoint-2000/scheduler.pt +3 -0
- run-1/checkpoint-2000/trainer_state.json +576 -0
- run-1/checkpoint-2000/training_args.bin +3 -0
- run-1/checkpoint-2750/config.json +41 -0
- run-1/checkpoint-2750/model.safetensors +3 -0
- run-1/checkpoint-2750/optimizer.pt +3 -0
- run-1/checkpoint-2750/rng_state.pth +3 -0
- run-1/checkpoint-2750/scheduler.pt +3 -0
- run-1/checkpoint-2750/trainer_state.json +783 -0
- run-1/checkpoint-2750/training_args.bin +3 -0
- run-1/checkpoint-3000/config.json +41 -0
- run-1/checkpoint-3000/model.safetensors +3 -0
- run-1/checkpoint-3000/optimizer.pt +3 -0
- run-1/checkpoint-3000/rng_state.pth +3 -0
- run-1/checkpoint-3000/scheduler.pt +3 -0
- run-1/checkpoint-3000/trainer_state.json +852 -0
- run-1/checkpoint-3000/training_args.bin +3 -0
- run-2/checkpoint-2500/config.json +41 -0
- run-2/checkpoint-2500/model.safetensors +3 -0
- run-2/checkpoint-2500/optimizer.pt +3 -0
- run-2/checkpoint-2500/rng_state.pth +3 -0
- run-2/checkpoint-2500/scheduler.pt +3 -0
README.md
ADDED
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---
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license: apache-2.0
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base_model: bert-base-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: bert_trainer
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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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# bert_trainer
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.6901
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- eval_accuracy: 0.7558
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- eval_runtime: 30.0507
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- eval_samples_per_second: 103.292
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- eval_steps_per_second: 25.823
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- epoch: 0.16
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- step: 250
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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: 6.036609853019458e-06
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant_with_warmup
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- lr_scheduler_warmup_steps: 50
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- training_steps: 3000
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### Framework versions
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- Transformers 4.36.0.dev0
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- Pytorch 2.1.1+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "bert-base-cased",
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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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| 8 |
+
"gradient_checkpointing": false,
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| 9 |
+
"hidden_act": "gelu",
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| 10 |
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"hidden_dropout_prob": 0.1,
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| 11 |
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"hidden_size": 768,
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| 12 |
+
"id2label": {
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| 13 |
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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| 17 |
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"4": "LABEL_4"
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| 18 |
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},
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| 19 |
+
"initializer_range": 0.02,
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| 20 |
+
"intermediate_size": 3072,
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| 21 |
+
"label2id": {
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| 22 |
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"LABEL_0": 0,
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| 23 |
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"LABEL_1": 1,
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| 24 |
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"LABEL_2": 2,
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| 25 |
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"LABEL_3": 3,
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| 26 |
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"LABEL_4": 4
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| 27 |
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},
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| 28 |
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"layer_norm_eps": 1e-12,
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| 29 |
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"max_position_embeddings": 512,
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| 30 |
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"model_type": "bert",
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| 31 |
+
"num_attention_heads": 12,
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| 32 |
+
"num_hidden_layers": 12,
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| 33 |
+
"pad_token_id": 0,
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| 34 |
+
"position_embedding_type": "absolute",
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| 35 |
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"problem_type": "single_label_classification",
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| 36 |
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"torch_dtype": "float32",
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| 37 |
+
"transformers_version": "4.36.0.dev0",
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| 38 |
+
"type_vocab_size": 2,
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| 39 |
+
"use_cache": true,
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| 40 |
+
"vocab_size": 28996
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| 41 |
+
}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:bd32e24b75429e0cb9367040b8e23512009bab779fbedc84c7cd676a547332c8
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| 3 |
+
size 433279996
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run-0/checkpoint-2500/config.json
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{
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"_name_or_path": "bert-base-cased",
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| 3 |
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"architectures": [
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| 4 |
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"BertForSequenceClassification"
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| 5 |
+
],
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| 6 |
+
"attention_probs_dropout_prob": 0.1,
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| 7 |
+
"classifier_dropout": null,
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| 8 |
+
"gradient_checkpointing": false,
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| 9 |
+
"hidden_act": "gelu",
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| 10 |
+
"hidden_dropout_prob": 0.1,
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| 11 |
+
"hidden_size": 768,
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| 12 |
+
"id2label": {
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| 13 |
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"0": "LABEL_0",
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| 14 |
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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| 17 |
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"4": "LABEL_4"
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| 18 |
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},
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| 19 |
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"initializer_range": 0.02,
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| 20 |
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"intermediate_size": 3072,
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| 21 |
+
"label2id": {
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| 22 |
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"LABEL_0": 0,
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| 23 |
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"LABEL_1": 1,
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| 24 |
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"LABEL_2": 2,
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| 25 |
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"LABEL_3": 3,
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| 26 |
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"LABEL_4": 4
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| 27 |
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},
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| 28 |
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"layer_norm_eps": 1e-12,
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| 29 |
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"max_position_embeddings": 512,
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| 30 |
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"model_type": "bert",
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| 31 |
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"num_attention_heads": 12,
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| 32 |
+
"num_hidden_layers": 12,
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| 33 |
+
"pad_token_id": 0,
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| 34 |
+
"position_embedding_type": "absolute",
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| 35 |
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"problem_type": "single_label_classification",
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| 36 |
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"torch_dtype": "float32",
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| 37 |
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"transformers_version": "4.36.0.dev0",
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| 38 |
+
"type_vocab_size": 2,
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| 39 |
+
"use_cache": true,
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| 40 |
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"vocab_size": 28996
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| 41 |
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}
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run-0/checkpoint-2500/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4d3e6ee528249c0e1c6388d2e72c4e47db8e42f96022ddc8f107119bbde5e135
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size 433279996
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run-0/checkpoint-2500/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:48b0eabf74e09755cd69eb9a84a842e5681649a25f2c588f1e78331b8358fd78
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size 866681082
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run-0/checkpoint-2500/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14244
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run-0/checkpoint-2500/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1064
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run-0/checkpoint-2500/trainer_state.json
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|
| 568 |
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|
| 569 |
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|
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|
| 574 |
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|
| 575 |
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|
| 576 |
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|
run-1/checkpoint-2000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 4728
|
run-1/checkpoint-2750/config.json
ADDED
|
@@ -0,0 +1,41 @@
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "bert-base-cased",
|
| 3 |
+
"architectures": [
|
| 4 |
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"BertForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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"hidden_act": "gelu",
|
| 10 |
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"hidden_dropout_prob": 0.1,
|
| 11 |
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"hidden_size": 768,
|
| 12 |
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"id2label": {
|
| 13 |
+
"0": "LABEL_0",
|
| 14 |
+
"1": "LABEL_1",
|
| 15 |
+
"2": "LABEL_2",
|
| 16 |
+
"3": "LABEL_3",
|
| 17 |
+
"4": "LABEL_4"
|
| 18 |
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},
|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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"LABEL_4": 4
|
| 27 |
+
},
|
| 28 |
+
"layer_norm_eps": 1e-12,
|
| 29 |
+
"max_position_embeddings": 512,
|
| 30 |
+
"model_type": "bert",
|
| 31 |
+
"num_attention_heads": 12,
|
| 32 |
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"num_hidden_layers": 12,
|
| 33 |
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"pad_token_id": 0,
|
| 34 |
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"position_embedding_type": "absolute",
|
| 35 |
+
"problem_type": "single_label_classification",
|
| 36 |
+
"torch_dtype": "float32",
|
| 37 |
+
"transformers_version": "4.36.0.dev0",
|
| 38 |
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"type_vocab_size": 2,
|
| 39 |
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"use_cache": true,
|
| 40 |
+
"vocab_size": 28996
|
| 41 |
+
}
|
run-1/checkpoint-2750/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 433279996
|
run-1/checkpoint-2750/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 866681082
|
run-1/checkpoint-2750/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 14244
|
run-1/checkpoint-2750/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 1064
|
run-1/checkpoint-2750/trainer_state.json
ADDED
|
@@ -0,0 +1,783 @@
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run-1/checkpoint-2750/training_args.bin
ADDED
|
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size 4728
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run-1/checkpoint-3000/config.json
ADDED
|
@@ -0,0 +1,41 @@
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|
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
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|
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|
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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"0": "LABEL_0",
|
| 14 |
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"1": "LABEL_1",
|
| 15 |
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|
| 16 |
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"3": "LABEL_3",
|
| 17 |
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"4": "LABEL_4"
|
| 18 |
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|
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|
| 20 |
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|
| 21 |
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|
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| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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| 28 |
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|
| 29 |
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|
| 30 |
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"model_type": "bert",
|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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"vocab_size": 28996
|
| 41 |
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|
run-1/checkpoint-3000/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 433279996
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run-1/checkpoint-3000/optimizer.pt
ADDED
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size 866681082
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run-1/checkpoint-3000/rng_state.pth
ADDED
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run-1/checkpoint-3000/scheduler.pt
ADDED
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size 1064
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run-1/checkpoint-3000/trainer_state.json
ADDED
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