Instructions to use longcld/t5-small-e2e-qa-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use longcld/t5-small-e2e-qa-full with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("longcld/t5-small-e2e-qa-full") model = AutoModelForSeq2SeqLM.from_pretrained("longcld/t5-small-e2e-qa-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
loss 2.2
Browse files- optimizer.pt +1 -1
- pytorch_model.bin +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +1113 -3
optimizer.pt
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size 352532601
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version https://git-lfs.github.com/spec/v1
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oid sha256:3ac120fe0be67d7968589a3cff544029928b6f77e268ee2cedbf3b1859418daa
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size 352532601
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pytorch_model.bin
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size 688496379
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rng_state.pth
CHANGED
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 14503
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scheduler.pt
CHANGED
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version https://git-lfs.github.com/spec/v1
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size 623
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size 623
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trainer_state.json
CHANGED
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@@ -1,8 +1,8 @@
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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-
"epoch":
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-
"global_step":
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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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"learning_rate": 0.0005221027479091995,
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"loss": 2.2734,
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"step": 44000
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