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How to prevent DataCollatorForLanguageModelling from using input_ids as labels in CLM tasks?

score 11 · Answer 1 · 2024-03-22T16:28:34.097000

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How to prevent DataCollatorForLanguageModelling from using input_ids as labels in CLM tasks?

11 views Asked by Kirk Walla At 22 March 2024 at 16:28

score 36 · Answer 2 · 2024-03-22T16:12:41.390000

Repo id must use alphanumeric chars : while performing auto training on llm

36 views Asked by Ankur Kumar At 22 March 2024 at 16:12

score 32 · Answer 3 · 2024-03-22T06:18:05.827000

Upgrading accelerate while using Trainer class

32 views Asked by 0xD4rky At 22 March 2024 at 06:18

score 12 · Answer 4 · 2024-03-21T21:25:13.070000

How can I get the class token out of the output_hidden_states?

12 views Asked by Mohammad Elghandour At 21 March 2024 at 21:25

score 45 · Answer 5 · 2024-03-19T23:26:36.980000

Can't run fine-tuning for llama 7b with LORA (OOM)

45 views Asked by CyBer CyBer At 19 March 2024 at 23:26

score 33 · Answer 6 · 2024-03-19T18:37:57.097000

HuggingFace Trainer starts distributed training twice

33 views Asked by Florian Rudaj At 19 March 2024 at 18:37

score 43 · Answer 7 · 2024-03-19T13:40:04.973000

'CTCTrainer' object has no attribute 'use_amp'

43 views Asked by stanley101 At 19 March 2024 at 13:40

score 34 · Answer 8 · 2024-03-18T19:47:39.853000

Why does Seq2SeqTrainer produces error during evaluation when using T5?

34 views Asked by Kirk Walla At 18 March 2024 at 19:47

score 263 · Answer 9 · 2024-03-14T05:08:49.803000

Having "torch.distributed.elastic.multiprocessing.errors.ChildFailedError:" error when using accelerator

263 views Asked by Dia-di At 14 March 2024 at 05:08

score 18 · Answer 10 · 2024-03-11T13:24:59.250000

How to make the Trainer (transformer) load the data batch by batch during training?

18 views Asked by liam jrj At 11 March 2024 at 13:24

score 65 · Answer 11 · 2024-03-08T15:24:41.207000

Huggingface Seq2seqTrainer freezes on evaluation

65 views Asked by InvalidHop At 08 March 2024 at 15:24

score 168 · Answer 12 · 2024-02-24T09:46:41.633000

Why I am unable to import trl package in Jupyter?

168 views Asked by Srinivas At 24 February 2024 at 09:46

score 38 · Answer 13 · 2024-02-23T15:42:32.837000

Plotting train accuracy and loss with Trainer

38 views Asked by Rakha At 23 February 2024 at 15:42

score 125 · Answer 14 · 2024-02-23T10:31:42.733000

Fine-tuning a model on sequences longer than the max sequence input length

125 views Asked by WackMingo At 23 February 2024 at 10:31

score 133 · Answer 15 · 2024-02-21T12:07:54.553000

While using Seq2SeqTrainingArguments function, This error is displayed: Using the `Trainer` with `PyTorch` requires `accelerate>=0.21.0`

133 views Asked by Disha Dinesh Agarwal At 21 February 2024 at 12:07

score 23 · Answer 16 · 2024-02-13T18:54:26.937000

Fine tuning a model with add_adapter==True resulted in training loss=0 , validation loss=nan

23 views Asked by Natali Gzraryan At 13 February 2024 at 18:54

score 102 · Answer 17 · 2024-02-07T19:12:04.227000

How can I train an LLM through Hugging Face using all the computational power at my disposal?

102 views Asked by Giacomo Saracchi At 07 February 2024 at 19:12

score 133 · Answer 18 · 2024-02-06T13:19:39.693000

Save and load the nsql-llama-2-7B - AutoModelForCausalLM model

133 views Asked by or b At 06 February 2024 at 13:19

score 142 · Answer 19 · 2024-02-05T10:45:19.087000

Cannot change training arguments when resuming from a checkpoint

142 views Asked by Jon Flynn At 05 February 2024 at 10:45

score 41 · Answer 20 · 2024-02-04T12:24:26.867000

How to modify the code below to adapt to multi-task using bert

41 views Asked by Glinty At 04 February 2024 at 12:24

TechQA.

List Question

How to prevent DataCollatorForLanguageModelling from using input_ids as labels in CLM tasks?

Repo id must use alphanumeric chars : while performing auto training on llm

Upgrading accelerate while using Trainer class

How can I get the class token out of the output_hidden_states?

Can't run fine-tuning for llama 7b with LORA (OOM)

HuggingFace Trainer starts distributed training twice

'CTCTrainer' object has no attribute 'use_amp'

Why does Seq2SeqTrainer produces error during evaluation when using T5?

Having "torch.distributed.elastic.multiprocessing.errors.ChildFailedError:" error when using accelerator

How to make the Trainer (transformer) load the data batch by batch during training?

Huggingface Seq2seqTrainer freezes on evaluation

Why I am unable to import trl package in Jupyter?

Plotting train accuracy and loss with Trainer

Fine-tuning a model on sequences longer than the max sequence input length

While using Seq2SeqTrainingArguments function, This error is displayed: Using the `Trainer` with `PyTorch` requires `accelerate>=0.21.0`

Fine tuning a model with add_adapter==True resulted in training loss=0 , validation loss=nan

How can I train an LLM through Hugging Face using all the computational power at my disposal?

Save and load the nsql-llama-2-7B - AutoModelForCausalLM model

Cannot change training arguments when resuming from a checkpoint

How to modify the code below to adapt to multi-task using bert

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