Instructions to use Yannis98/squad_albert_finetuned2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yannis98/squad_albert_finetuned2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Yannis98/squad_albert_finetuned2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Yannis98/squad_albert_finetuned2") model = AutoModelForQuestionAnswering.from_pretrained("Yannis98/squad_albert_finetuned2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files- all_results.json +4 -4
- tokenizer.json +2 -16
- train_results.json +4 -4
- trainer_state.json +4 -4
- training_args.bin +1 -1
all_results.json
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{
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"epoch": 1.0,
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"total_flos": 1656285235200.0,
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"train_loss":
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"train_runtime":
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"train_samples": 100,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 1.0,
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"total_flos": 1656285235200.0,
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"train_loss": 0.0,
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"train_runtime": 1.5121,
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"train_samples": 100,
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"train_samples_per_second": 66.134,
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"train_steps_per_second": 33.067
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}
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tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"max_length": 384,
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"strategy": "OnlySecond",
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"stride": 128
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},
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"padding": {
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"strategy": {
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"Fixed": 384
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},
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 0,
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"pad_type_id": 0,
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"pad_token": "<pad>"
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},
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"added_tokens": [
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"id": 0,
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"version": "1.0",
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"truncation": null,
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"padding": null,
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"added_tokens": [
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"id": 0,
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train_results.json
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{
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"epoch": 1.0,
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"total_flos": 1656285235200.0,
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"train_loss":
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"train_runtime":
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"train_samples": 100,
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"train_samples_per_second":
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"train_steps_per_second":
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}
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{
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"epoch": 1.0,
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"total_flos": 1656285235200.0,
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"train_loss": 0.0,
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"train_runtime": 1.5121,
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"train_samples": 100,
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"train_samples_per_second": 66.134,
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"train_steps_per_second": 33.067
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}
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trainer_state.json
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"epoch": 1.0,
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"step": 50,
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"total_flos": 1656285235200.0,
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"train_loss":
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"train_runtime":
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"train_samples_per_second":
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"train_steps_per_second":
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}
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],
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"logging_steps": 500,
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"epoch": 1.0,
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"step": 50,
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"total_flos": 1656285235200.0,
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"train_loss": 0.0,
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"train_runtime": 1.5121,
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"train_samples_per_second": 66.134,
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"train_steps_per_second": 33.067
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}
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],
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"logging_steps": 500,
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 5432
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version https://git-lfs.github.com/spec/v1
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oid sha256:87bbc0f3b2557519944f68c224626a0885ef35ee8d5c6f55dd5fc96bfd24cfdc
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size 5432
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