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lorahub/flan_t5_xl-wiqa_which_of_the_following_is_the_supposed_perturbation | lorahub | "2023-10-19T06:10:55Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:10:40Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiki_qa_exercise | lorahub | "2023-10-19T06:11:13Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:11:00Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiqa_what_might_be_the_last_step_of_the_process | lorahub | "2023-10-19T06:11:54Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:11:38Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-dream_baseline | lorahub | "2023-10-19T06:12:16Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:11:59Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wmt14_translate_fr-en | lorahub | "2023-10-19T06:12:35Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:12:21Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-sciq_Multiple_Choice | lorahub | "2023-10-19T06:12:55Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:12:41Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-super_glue_wic | lorahub | "2023-10-19T06:13:13Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:13:00Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiqa_what_might_be_the_first_step_of_the_process | lorahub | "2023-10-19T06:13:31Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:13:18Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-true_case | lorahub | "2023-10-19T06:14:08Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:13:55Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-amazon_polarity_Is_this_review | lorahub | "2023-10-19T06:14:48Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:14:34Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-adversarial_qa_droberta_question_context_answer | lorahub | "2023-10-19T06:15:26Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:15:11Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiki_bio_who | lorahub | "2023-10-19T06:15:46Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:15:31Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiki_hop_original_generate_subject | lorahub | "2023-10-19T06:16:05Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:15:51Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
shadid-io/bc8-testnet | shadid-io | "2023-10-19T06:16:06Z" | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | null | "2023-10-19T06:16:06Z" | ---
license: apache-2.0
---
|
lorahub/flan_t5_xl-glue_qqp | lorahub | "2023-10-19T06:16:26Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:16:10Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiqa_effect_with_label_answer | lorahub | "2023-10-19T06:16:44Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:16:31Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-anli_r1 | lorahub | "2023-10-19T06:17:03Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:16:49Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-ropes_plain_bottom_hint | lorahub | "2023-10-19T06:17:24Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:17:09Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-word_segment | lorahub | "2023-10-19T06:18:01Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:17:48Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiqa_does_the_supposed_perturbation_have_an_effect | lorahub | "2023-10-19T06:18:20Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:18:06Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
JiZha/CodeLlama-SQL | JiZha | "2023-10-19T06:18:17Z" | 0 | 0 | null | [
"license:apache-2.0",
"region:us"
] | null | "2023-10-19T06:18:17Z" | ---
license: apache-2.0
---
|
lorahub/flan_t5_xl-ropes_read_background_situation | lorahub | "2023-10-19T06:19:03Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:18:49Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-amazon_polarity_flattering_or_not | lorahub | "2023-10-19T06:19:23Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:19:08Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
Sacralet/llama2-chat_nest | Sacralet | "2024-01-02T07:10:47Z" | 0 | 0 | null | [
"region:us"
] | null | "2023-10-19T06:19:49Z" | # Llama 2
We are unlocking the power of large language models. Our latest version of Llama is now accessible to individuals, creators, researchers and businesses of all sizes so that they can experiment, innovate and scale their ideas responsibly.
This release includes model weights and starting code for pretrained and fine-tuned Llama language models — ranging from 7B to 70B parameters.
This repository is intended as a minimal example to load [Llama 2](https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/) models and run inference. For more detailed examples leveraging HuggingFace, see [llama-recipes](https://github.com/facebookresearch/llama-recipes/).
## Updates post-launch
See [UPDATES.md](UPDATES.md).
## Download
⚠️ **7/18: We're aware of people encountering a number of download issues today. Anyone still encountering issues should remove all local files, re-clone the repository, and [request a new download link](https://ai.meta.com/resources/models-and-libraries/llama-downloads/). It's critical to do all of these in case you have local corrupt files. When you receive the email, copy *only* the link text - it should begin with https://download.llamameta.net and not with https://l.facebook.com, which will give errors.**
In order to download the model weights and tokenizer, please visit the [Meta AI website](https://ai.meta.com/resources/models-and-libraries/llama-downloads/) and accept our License.
Once your request is approved, you will receive a signed URL over email. Then run the download.sh script, passing the URL provided when prompted to start the download. Make sure that you copy the URL text itself, **do not use the 'Copy link address' option** when you right click the URL. If the copied URL text starts with: https://download.llamameta.net, you copied it correctly. If the copied URL text starts with: https://l.facebook.com, you copied it the wrong way.
Pre-requisites: make sure you have `wget` and `md5sum` installed. Then to run the script: `./download.sh`.
Keep in mind that the links expire after 24 hours and a certain amount of downloads. If you start seeing errors such as `403: Forbidden`, you can always re-request a link.
### Access on Hugging Face
We are also providing downloads on [Hugging Face](https://huggingface.co/meta-llama). You must first request a download from the Meta AI website using the same email address as your Hugging Face account. After doing so, you can request access to any of the models on Hugging Face and within 1-2 days your account will be granted access to all versions.
## Setup
In a conda env with PyTorch / CUDA available, clone the repo and run in the top-level directory:
```
pip install -e .
```
## Inference
Different models require different model-parallel (MP) values:
| Model | MP |
|--------|----|
| 7B | 1 |
| 13B | 2 |
| 70B | 8 |
All models support sequence length up to 4096 tokens, but we pre-allocate the cache according to `max_seq_len` and `max_batch_size` values. So set those according to your hardware.
### Pretrained Models
These models are not finetuned for chat or Q&A. They should be prompted so that the expected answer is the natural continuation of the prompt.
See `example_text_completion.py` for some examples. To illustrate, see command below to run it with the llama-2-7b model (`nproc_per_node` needs to be set to the `MP` value):
```
torchrun --nproc_per_node 1 example_text_completion.py \
--ckpt_dir llama-2-7b/ \
--tokenizer_path tokenizer.model \
--max_seq_len 128 --max_batch_size 4
```
### Fine-tuned Chat Models
The fine-tuned models were trained for dialogue applications. To get the expected features and performance for them, a specific formatting defined in [`chat_completion`](https://github.com/facebookresearch/llama/blob/main/llama/generation.py#L212)
needs to be followed, including the `INST` and `<<SYS>>` tags, `BOS` and `EOS` tokens, and the whitespaces and breaklines in between (we recommend calling `strip()` on inputs to avoid double-spaces).
You can also deploy additional classifiers for filtering out inputs and outputs that are deemed unsafe. See the llama-recipes repo for [an example](https://github.com/facebookresearch/llama-recipes/blob/main/inference/inference.py) of how to add a safety checker to the inputs and outputs of your inference code.
Examples using llama-2-7b-chat:
```
torchrun --nproc_per_node 1 example_chat_completion.py \
--ckpt_dir llama-2-7b-chat/ \
--tokenizer_path tokenizer.model \
--max_seq_len 512 --max_batch_size 4
```
Llama 2 is a new technology that carries potential risks with use. Testing conducted to date has not — and could not — cover all scenarios.
In order to help developers address these risks, we have created the [Responsible Use Guide](Responsible-Use-Guide.pdf). More details can be found in our research paper as well.
## Issues
Please report any software “bug,” or other problems with the models through one of the following means:
- Reporting issues with the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)
- Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)
- Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)
## Model Card
See [MODEL_CARD.md](MODEL_CARD.md).
## License
Our model and weights are licensed for both researchers and commercial entities, upholding the principles of openness. Our mission is to empower individuals, and industry through this opportunity, while fostering an environment of discovery and ethical AI advancements.
See the [LICENSE](LICENSE) file, as well as our accompanying [Acceptable Use Policy](USE_POLICY.md)
## References
1. [Research Paper](https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/)
2. [Llama 2 technical overview](https://ai.meta.com/resources/models-and-libraries/llama)
3. [Open Innovation AI Research Community](https://ai.meta.com/llama/open-innovation-ai-research-community/)
## Original LLaMA
The repo for the original llama release is in the [`llama_v1`](https://github.com/facebookresearch/llama/tree/llama_v1) branch.
|
Mistermango24/Tgirl_V4 | Mistermango24 | "2023-10-19T06:20:45Z" | 0 | 0 | null | [
"license:artistic-2.0",
"region:us"
] | null | "2023-10-19T06:20:05Z" | ---
license: artistic-2.0
---
|
lorahub/flan_t5_xl-dbpedia_14_pick_one_category_for_the_following_text | lorahub | "2023-10-19T06:20:25Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:20:08Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-glue_cola | lorahub | "2023-10-19T06:21:11Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:20:54Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-ropes_prompt_mix | lorahub | "2023-10-19T06:21:30Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:21:16Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-app_reviews_convert_to_rating | lorahub | "2023-10-19T06:21:50Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:21:36Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-anli_r3 | lorahub | "2023-10-19T06:22:09Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:21:56Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-glue_mnli | lorahub | "2023-10-19T06:22:30Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:22:14Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiki_qa_Generate_Question_from_Topic | lorahub | "2023-10-19T06:22:50Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:22:36Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-adversarial_qa_dbidaf_tell_what_it_is | lorahub | "2023-10-19T06:23:10Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:22:55Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-ropes_prompt_bottom_hint_beginning | lorahub | "2023-10-19T06:23:28Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:23:15Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-squad_v2.0 | lorahub | "2023-10-19T06:24:06Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:23:51Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-race_middle_Taking_a_test | lorahub | "2023-10-19T06:24:24Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:24:11Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-adversarial_qa_dbidaf_answer_the_following_q | lorahub | "2023-10-19T06:24:43Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:24:29Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-duorc_SelfRC_decide_worth_it | lorahub | "2023-10-19T06:25:05Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:24:49Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-web_questions_whats_the_answer | lorahub | "2023-10-19T06:25:23Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:25:10Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-ropes_plain_background_situation | lorahub | "2023-10-19T06:25:41Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:25:29Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiki_hop_original_choose_best_object_affirmative_1 | lorahub | "2023-10-19T06:26:00Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:25:47Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiqa_what_is_the_missing_first_step | lorahub | "2023-10-19T06:26:20Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:26:05Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-adversarial_qa_dbidaf_question_context_answer | lorahub | "2023-10-19T06:26:40Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:26:25Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-duorc_ParaphraseRC_answer_question | lorahub | "2023-10-19T06:27:01Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:26:45Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-duorc_SelfRC_movie_director | lorahub | "2023-10-19T06:27:24Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:27:07Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
RUXHIR2828/MichaelJ.Caboose | RUXHIR2828 | "2023-10-19T06:27:55Z" | 0 | 0 | null | [
"license:openrail",
"region:us"
] | null | "2023-10-19T06:27:19Z" | ---
license: openrail
---
|
lorahub/flan_t5_xl-gem_dart | lorahub | "2023-10-19T06:27:46Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:27:29Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
Mridul/bert-hate-speech | Mridul | "2023-10-19T07:18:00Z" | 0 | 0 | transformers | [
"transformers",
"text-classification",
"en",
"endpoints_compatible",
"region:us"
] | text-classification | "2023-10-19T06:27:36Z" | ---
language:
- en
metrics:
- accuracy
library_name: transformers
pipeline_tag: text-classification
---
Bertfortextclassification, trained on hate speech dataseet |
lorahub/flan_t5_xl-adversarial_qa_dbert_based_on | lorahub | "2023-10-19T06:28:06Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:27:52Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-ropes_plain_no_background | lorahub | "2023-10-19T06:28:27Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:28:12Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wmt16_translate_tr-en | lorahub | "2023-10-19T06:28:48Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:28:32Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-drop | lorahub | "2023-10-19T06:29:11Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:28:53Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-race_middle_Select_the_best_answer_generate_span_ | lorahub | "2023-10-19T06:29:31Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:29:17Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-bool_q | lorahub | "2023-10-19T06:29:50Z" | 0 | 1 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:29:36Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-web_questions_short_general_knowledge_q | lorahub | "2023-10-19T06:30:09Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:29:55Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-duorc_SelfRC_answer_question | lorahub | "2023-10-19T06:30:30Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:30:14Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-adversarial_qa_droberta_answer_the_following_q | lorahub | "2023-10-19T06:30:50Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:30:35Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
Rimbos/T | Rimbos | "2023-10-19T06:30:44Z" | 0 | 0 | null | [
"region:us"
] | null | "2023-10-19T06:30:44Z" | Entry not found |
Adeptschneider/swahili_speech_recognition_model_whisper | Adeptschneider | "2023-10-19T06:31:17Z" | 0 | 0 | null | [
"region:us"
] | null | "2023-10-19T06:30:55Z" | Entry not found |
lorahub/flan_t5_xl-ropes_background_situation_middle | lorahub | "2023-10-19T06:31:08Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:30:55Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiki_bio_what_content | lorahub | "2023-10-19T06:31:47Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:31:34Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiki_hop_original_choose_best_object_affirmative_3 | lorahub | "2023-10-19T06:32:06Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:31:52Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiki_hop_original_generate_subject_and_object | lorahub | "2023-10-19T06:32:25Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:32:12Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-squad_v1.1 | lorahub | "2023-10-19T06:32:46Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:32:30Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-super_glue_rte | lorahub | "2023-10-19T06:33:23Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:33:10Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-sciq_Multiple_Choice_Question_First | lorahub | "2023-10-19T06:33:43Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:33:29Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
zhangsansansan/san | zhangsansansan | "2023-10-19T06:33:34Z" | 0 | 0 | null | [
"region:us"
] | null | "2023-10-19T06:33:34Z" | Entry not found |
lorahub/flan_t5_xl-web_questions_get_the_answer | lorahub | "2023-10-19T06:34:01Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:33:48Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
AnthonyLu/NER_model | AnthonyLu | "2023-10-19T06:33:55Z" | 0 | 0 | null | [
"region:us"
] | null | "2023-10-19T06:33:55Z" | Entry not found |
lorahub/flan_t5_xl-social_i_qa_Generate_the_question_from_the_answer | lorahub | "2023-10-19T06:34:38Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:34:25Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-glue_sst2 | lorahub | "2023-10-19T06:35:00Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:34:43Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-snli | lorahub | "2023-10-19T06:35:20Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:35:05Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiki_hop_original_generate_object | lorahub | "2023-10-19T06:35:39Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:35:26Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-ropes_given_background_situation | lorahub | "2023-10-19T06:35:58Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:35:44Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiki_qa_Topic_Prediction_Question_and_Answer_Pair | lorahub | "2023-10-19T06:36:16Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:36:03Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-social_i_qa_Show_choices_and_generate_answer | lorahub | "2023-10-19T06:36:36Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:36:22Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiki_qa_automatic_system | lorahub | "2023-10-19T06:37:15Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:37:00Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-race_middle_Write_a_multi_choice_question_options_given_ | lorahub | "2023-10-19T06:37:33Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:37:20Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
RikoteMaster/mistral_4_emotion_detection | RikoteMaster | "2023-10-19T06:44:15Z" | 0 | 0 | null | [
"region:us"
] | null | "2023-10-19T06:37:31Z" | Entry not found |
lorahub/flan_t5_xl-glue_wnli | lorahub | "2023-10-19T06:37:55Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:37:39Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
RikoteMaster/results_selected | RikoteMaster | "2023-10-19T06:38:25Z" | 0 | 0 | null | [
"generated_from_trainer",
"base_model:mistralai/Mistral-7B-v0.1",
"base_model:finetune:mistralai/Mistral-7B-v0.1",
"license:apache-2.0",
"region:us"
] | null | "2023-10-19T06:37:43Z" | ---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
model-index:
- name: results_selected
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# results_selected
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5
### Training results
### Framework versions
- Transformers 4.35.0.dev0
- Pytorch 1.14.0a0+44dac51
- Datasets 2.14.5
- Tokenizers 0.14.1
|
lorahub/flan_t5_xl-adversarial_qa_dbidaf_based_on | lorahub | "2023-10-19T06:38:16Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:38:00Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-wiki_hop_original_choose_best_object_interrogative_2 | lorahub | "2023-10-19T06:38:36Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:38:21Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-glue_stsb | lorahub | "2023-10-19T06:38:58Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:38:41Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-social_i_qa_Show_choices_and_generate_index | lorahub | "2023-10-19T06:39:18Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:39:04Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-ropes_prompt_beginning | lorahub | "2023-10-19T06:39:36Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:39:23Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-kilt_tasks_hotpotqa_combining_facts | lorahub | "2023-10-19T06:40:00Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:39:41Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
Waterfront/Llama-2-7b-chat-hf-social-media-captions-10k | Waterfront | "2023-10-19T09:04:22Z" | 0 | 0 | null | [
"generated_from_trainer",
"base_model:meta-llama/Llama-2-7b-chat-hf",
"base_model:finetune:meta-llama/Llama-2-7b-chat-hf",
"region:us"
] | null | "2023-10-19T06:39:43Z" | ---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- generated_from_trainer
model-index:
- name: Llama-2-7b-chat-hf-social-media-captions-10k
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Llama-2-7b-chat-hf-social-media-captions-10k
This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1.41e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
### Framework versions
- Transformers 4.34.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
|
lorahub/flan_t5_xl-adversarial_qa_dbert_answer_the_following_q | lorahub | "2023-10-19T06:40:23Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:40:06Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-ropes_new_situation_background_answer | lorahub | "2023-10-19T06:40:42Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:40:29Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
Astral-P/IrisHeart | Astral-P | "2023-10-19T06:42:28Z" | 0 | 0 | null | [
"license:wtfpl",
"region:us"
] | null | "2023-10-19T06:40:35Z" | ---
license: wtfpl
---
|
lorahub/flan_t5_xl-sentiment140 | lorahub | "2023-10-19T06:41:02Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:40:47Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-adversarial_qa_droberta_tell_what_it_is | lorahub | "2023-10-19T06:41:22Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:41:07Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
guyguyguy1/eden2 | guyguyguy1 | "2023-10-19T14:05:16Z" | 0 | 0 | null | [
"arxiv:1910.09700",
"region:us"
] | null | "2023-10-19T06:41:17Z" | ---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{}
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
[More Information Needed]
### Downstream Use [optional]
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
[More Information Needed]
### Out-of-Scope Use
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
[More Information Needed]
## Bias, Risks, and Limitations
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
[More Information Needed]
#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
[More Information Needed]
## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
<!-- This should link to a Dataset Card if possible. -->
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
[More Information Needed]
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
[More Information Needed]
#### Hardware
[More Information Needed]
#### Software
[More Information Needed]
## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
[More Information Needed]
## More Information [optional]
[More Information Needed]
## Model Card Authors [optional]
[More Information Needed]
## Model Card Contact
[More Information Needed]
|
lorahub/flan_t5_xl-wiki_qa_Jeopardy_style | lorahub | "2023-10-19T06:41:41Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:41:27Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-ropes_background_new_situation_answer | lorahub | "2023-10-19T06:42:01Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:41:46Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
Skiro/llama2-7b-chat-hf-minigpt-v2-lora | Skiro | "2023-10-19T06:43:17Z" | 0 | 0 | null | [
"region:us"
] | null | "2023-10-19T06:41:51Z" | Entry not found |
lorahub/flan_t5_xl-sciq_Direct_Question_Closed_Book_ | lorahub | "2023-10-19T06:42:22Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:42:06Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-dbpedia_14_given_a_choice_of_categories_ | lorahub | "2023-10-19T06:42:45Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:42:28Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|
lorahub/flan_t5_xl-yelp_polarity_reviews | lorahub | "2023-10-19T06:43:47Z" | 0 | 0 | peft | [
"peft",
"region:us"
] | null | "2023-10-19T06:43:33Z" | ---
library_name: peft
---
## Training procedure
### Framework versions
- PEFT 0.6.0.dev0
|