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text-to-speech | transformers |
# VITS Base sw-KE-OpenBible
VITS Base sw-KE-OpenBible is an end-to-end text-to-speech model based on the [VITS](https://arxiv.org/abs/2106.06103) architecture. This model was trained from scratch on a real audio dataset. The list of real speakers include:
- sw-KE-OpenBible
The model's [vocabulary](https://huggingfa... | {"language": "sw", "license": "cc-by-sa-4.0", "tags": ["audio", "text-to-speech"], "datasets": ["bookbot/OpenBible_Swahili"], "inference": false} | bookbot/vits-base-sw-KE-OpenBible | null | [
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| VITS Base sw-KE-OpenBible
=========================
VITS Base sw-KE-OpenBible is an end-to-end text-to-speech model based on the VITS architecture. This model was trained from scratch on a real audio dataset. The list of real speakers include:
* sw-KE-OpenBible
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null | peft |
<!-- 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. -->
# GUE_EMP_H3K36me3-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_8192_512_30M-L8_f | null | [
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| GUE\_EMP\_H3K36me3-seqsight\_8192\_512\_30M-L8\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4528
* F1 Score... | [
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text-generation | transformers |
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text-generation | transformers |
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text-generation | transformers |
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text-generation | transformers |
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text-generation | transformers |
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text-generation | transformers |
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null | transformers |
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null | peft |
<!-- 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. -->
# GUE_EMP_H3K36me3-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_8192_512_30M-L32_f | null | [
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| GUE\_EMP\_H3K36me3-seqsight\_8192\_512\_30M-L32\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
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* Loss: 0.4416
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image-classification | transformers |
<!-- 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. -->
# finetuned-food101
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-ba... | {"license": "apache-2.0", "tags": ["image-classification", "food-ingredient-classification", "food101", "food101-finetuned", "generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/vit-base-patch16-224-in21k", "model-index": [{"name": "finetuned-food101", "results": []}]} | ericmconnelly/finetuned-food101 | null | [
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"re... | null | 2024-04-27T05:09:30+00:00 | [] | [] | TAGS
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| finetuned-food101
=================
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the food101 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6105
* Accuracy: 0.8400
Model description
-----------------
More information needed
Intended uses & limitations... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Aaron82352/length_generalization_testing | null | [
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## Model Details
### Model Description
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null | peft |
<!-- 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. -->
# GUE_mouse_0-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_0-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_8192_512_30M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_0-seqsight\_8192\_512\_30M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6032
* F1 Score: 0.7332
* Accu... | [
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null | peft |
<!-- 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. -->
# GUE_mouse_0-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_0-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_8192_512_30M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_0-seqsight\_8192\_512\_30M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5799
* F1 Score: 0.7317
* Accu... | [
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text-generation | transformers |
# Microllama-300.500kmerge
Microllama-300.500kmerge is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
* [Corianas/Microllama_Char_500k_step](https://huggingface.co/Corianas/Microllama_Char_500k_step)
* [Corianas/Microllama_C... | {"tags": ["merge", "mergekit", "lazymergekit", "Corianas/Microllama_Char_500k_step", "Corianas/Microllama_Char_300k_step"], "base_model": ["Corianas/Microllama_Char_500k_step", "Corianas/Microllama_Char_300k_step"]} | Corianas/Microllama-300.500kmerge | null | [
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... | null | 2024-04-27T05:13:04+00:00 | [] | [] | TAGS
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# Microllama-300.500kmerge
Microllama-300.500kmerge is a merge of the following models using LazyMergekit:
* Corianas/Microllama_Char_500k_step
* Corianas/Microllama_Char_300k_step
## Configuration
## Usage
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adapterhappy2sad-study-50-0.006 | null | [
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# Model Card for Model ID
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### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- 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. -->
# 0.001_4iters_bs256_nodpo_only4w_zephyr_iter_2
This model is a fine-tuned version of [ShenaoZhang/0.001_4iters_bs256_nodpo_only4w... | {"license": "mit", "tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_zephyr_iter_1", "model-index": [{"name": "0.001_4iters_bs256_nodpo_only4w_zephyr_iter_2", "re... | ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_zephyr_iter_2 | null | [
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# 0.001_4iters_bs256_nodpo_only4w_zephyr_iter_2
This model is a fine-tuned version of ShenaoZhang/0.001_4iters_bs256_nodpo_only4w_zephyr_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
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text2text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | himanshubeniwal/mt5-base-finetuned-kk-to-en-filthy-Indian | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers | # output-model-directory
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* /workspace/sigrid-llm... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": []} | sigridjineth/gemma-2b-var | null | [
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| # output-model-directory
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the passthrough merge method.
### Models Merged
The following models were included in the merge:
* /workspace/sigrid-llm-lab/layer_locked_raw_sk
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null | peft |
<!-- 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. -->
# GUE_mouse_1-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_1-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_8192_512_30M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_1-seqsight\_8192\_512\_30M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2479
* F1 Score: 0.8899
* Accu... | [
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null | peft |
<!-- 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. -->
# GUE_mouse_0-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_0-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_8192_512_30M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_0-seqsight\_8192\_512\_30M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0391
* F1 Score: 0.7235
* Ac... | [
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null | transformers |
# Uploaded model
- **Developed by:** Mohamedshaaban2001
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslotha... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Mohamedshaaban2001/llama3_4 | null | [
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|
# Uploaded model
- Developed by: Mohamedshaaban2001
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
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<img src="URL width="200"/>
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adaptertoxic2nontoxic-100-filtered-50-0.009 | null | [
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|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
<!-- 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. -->
# eli5_dir
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the eli5_category dataset.
It achieves the... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["eli5_category"], "base_model": "gpt2", "model-index": [{"name": "eli5_dir", "results": []}]} | BohanJiang/eli5_dir | null | [
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| eli5\_dir
=========
This model is a fine-tuned version of gpt2 on the eli5\_category dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5573
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
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text-classification | transformers |
<!-- 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. -->
# my_awesome_model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unkno... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "my_awesome_model", "results": []}]} | WillXH/my_awesome_model | null | [
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| my\_awesome\_model
==================
This model is a fine-tuned version of bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2265
* Accuracy: 0.9387
Model description
-----------------
More information needed
Intended uses & limitations
--------------... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/1plso1l | null | [
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# Model Card for Model ID
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-to-audio | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | procit001/female_english_voice_v1.4 | null | [
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reinforcement-learning | ml-agents |
# **ppo** Agent playing **SnowballTarget**
This is a trained model of a **ppo** agent playing **SnowballTarget**
using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
## Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit... | {"library_name": "ml-agents", "tags": ["SnowballTarget", "deep-reinforcement-learning", "reinforcement-learning", "ML-Agents-SnowballTarget"]} | hossniper/ppo-SnowballTarget | null | [
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|
# ppo Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget
using the Unity ML-Agents Library.
## Usage (with ML-Agents)
The Documentation: URL
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
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null | null | Apakah Dozerex Tablet?
Dozerex harga ialah kapsul kesihatan lelaki berkualiti premium yang diformulasikan untuk menyokong tahap kecergasan dan tenaga. Formula termajunya menggabungkan gabungan sinergistik vitamin, mineral dan ekstrak herba, yang dipilih khusus untuk menggalakkan kesihatan dan kesejahteraan optimum pad... | {"license": "apache-2.0"} | DozerexMalaysia/Dozerex | null | [
"license:apache-2.0",
"region:us"
] | null | 2024-04-27T05:31:26+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
| Apakah Dozerex Tablet?
Dozerex harga ialah kapsul kesihatan lelaki berkualiti premium yang diformulasikan untuk menyokong tahap kecergasan dan tenaga. Formula termajunya menggabungkan gabungan sinergistik vitamin, mineral dan ekstrak herba, yang dipilih khusus untuk menggalakkan kesihatan dan kesejahteraan optimum pad... | [] | [
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token-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# pavanch121/distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.c... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "pavanch121/distilbert-base-uncased-finetuned-ner", "results": []}]} | pavanch121/distilbert-base-uncased-finetuned-ner | null | [
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"license:apache-2.0",
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"region:us"
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#transformers #tf #tensorboard #distilbert #token-classification #generated_from_keras_callback #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| pavanch121/distilbert-base-uncased-finetuned-ner
================================================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.1160
* Validation Loss: 0.3811
* Train Precision: 0.5648
* T... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'module': 'keras.optimizers.schedules', 'class\\_name': 'PolynomialDecay', 'config': {'initial\\_learning\\_rate': 2e-05, 'decay\\_steps': 636, 'end\\_learnin... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n... | [
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - AdityaNath/Jap_Arch_LoRA
<Gallery />
## Model description
These are AdityaNath/Jap_Arch_LoRA L... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "lora", "template:sd-lora", "stabl... | AdityaNath/Jap_Arch_LoRA | null | [
"diffusers",
"tensorboard",
"text-to-image",
"diffusers-training",
"lora",
"template:sd-lora",
"stable-diffusion-xl",
"stable-diffusion-xl-diffusers",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"region:us"
] | null | 2024-04-27T05:31:54+00:00 | [] | [] | TAGS
#diffusers #tensorboard #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us
|
# SDXL LoRA DreamBooth - AdityaNath/Jap_Arch_LoRA
<Gallery />
## Model description
These are AdityaNath/Jap_Arch_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
The weights were trained using DreamBooth.
LoRA for the text encoder was enabled: False.
Special VAE used for training: mad... | [
"# SDXL LoRA DreamBooth - AdityaNath/Jap_Arch_LoRA\n\n<Gallery />",
"## Model description\n\nThese are AdityaNath/Jap_Arch_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.\n\nThe weights were trained using DreamBooth.\n\nLoRA for the text encoder was enabled: False.\n\nSpecial VAE used fo... | [
"TAGS\n#diffusers #tensorboard #text-to-image #diffusers-training #lora #template-sd-lora #stable-diffusion-xl #stable-diffusion-xl-diffusers #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-openrail++ #region-us \n",
"# SDXL LoRA DreamBooth - AdityaNath/Jap_Arch_LoRA\n\n<Gallery />",
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null | peft |
<!-- 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. -->
# GUE_mouse_1-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_1-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_8192_512_30M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T05:33:25+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_1-seqsight\_8192\_512\_30M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2336
* F1 Score: 0.8980
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | peft |
<!-- 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. -->
# GUE_mouse_1-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_1-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_8192_512_30M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T05:33:49+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_1-seqsight\_8192\_512\_30M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2331
* F1 Score: 0.9027
* Ac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | peft |
<!-- 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. -->
# GUE_mouse_4-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_4-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_8192_512_30M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T05:34:15+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_4-seqsight\_8192\_512\_30M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5717
* F1 Score: 0.7021
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | peft |
<!-- 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. -->
# GUE_mouse_4-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_4-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_8192_512_30M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T05:36:09+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_4-seqsight\_8192\_512\_30M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6126
* F1 Score: 0.6998
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | peft |
<!-- 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. -->
# GUE_mouse_4-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_4-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_8192_512_30M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T05:36:29+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_4-seqsight\_8192\_512\_30M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5704
* F1 Score: 0.7011
* Ac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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image-classification | transformers |
<!-- 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. -->
# dinov2-s-201
This model is a fine-tuned version of [facebook/dinov2-small-imagenet1k-1-layer](https://huggingface.co/facebook/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "facebook/dinov2-small-imagenet1k-1-layer", "model-index": [{"name": "dinov2-s-201", "results": [{"task": {"type": "image-classification", "name": "Image Classification"}, "dataset": {"name"... | niraj003/dinov2-s-201 | null | [
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"dataset:imagefolder",
"base_model:facebook/dinov2-small-imagenet1k-1-layer",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-27T05:38:05+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #dinov2 #image-classification #generated_from_trainer #dataset-imagefolder #base_model-facebook/dinov2-small-imagenet1k-1-layer #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| dinov2-s-201
============
This model is a fine-tuned version of facebook/dinov2-small-imagenet1k-1-layer on the imagefolder dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5503
* Accuracy: 0.8049
Model description
-----------------
More information needed
Intended uses & limitation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 32\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | shallow6414/56fpct9 | null | [
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"region:us"
] | null | 2024-04-27T05:40:45+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
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- Model type:
- Language(s) (NLP):
- License... | [
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null | peft |
<!-- 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. -->
# GUE_mouse_3-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_3-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_8192_512_30M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T05:42:35+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_3-seqsight\_8192\_512\_30M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5379
* F1 Score: 0.8535
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
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null | null |
LIne2ColorID Lora for sd 1.5!
This is experimental Lora, which generates images in a similar style to Color ID.
Because it was trained with anime images, it doesn't work well with photorealistic models.
You can use it in conjunction with Lineart Controlnet. Add the following prompts
black background, colorid, ... | {} | toyxyz/LIne2ColorID | null | [
"region:us"
] | null | 2024-04-27T05:42:47+00:00 | [] | [] | TAGS
#region-us
|
LIne2ColorID Lora for sd 1.5!
This is experimental Lora, which generates images in a similar style to Color ID.
Because it was trained with anime images, it doesn't work well with photorealistic models.
You can use it in conjunction with Lineart Controlnet. Add the following prompts
black background, colorid, ... | [] | [
"TAGS\n#region-us \n"
] | [
5
] | [
"TAGS\n#region-us \n"
] |
text-generation | transformers |
# llama-3-8b-instruct-262k-chinese
llama-3-8b-instruct-262k-chinese基于[Llama-3-8B-Instruct-262k](https://huggingface.co/gradientai/Llama-3-8B-Instruct-262k)，使用ORPO方法，在中英文偏好数据集[shibing624/DPO-En-Zh-20k-Preference](https://huggingface.co/datasets/shibing624/DPO-En-Zh-20k-Preference)
上微调得到的对话模型。
模型的部署、训练等方法详见MedicalGP... | {"language": ["zh", "en"], "license": "other", "tags": ["llama3", "chinese", "meta"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "LICENSE"} | shibing624/llama-3-8b-instruct-262k-chinese | null | [
"transformers",
"safetensors",
"llama",
"text-generation",
"llama3",
"chinese",
"meta",
"conversational",
"zh",
"en",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-27T05:44:17+00:00 | [] | [
"zh",
"en"
] | TAGS
#transformers #safetensors #llama #text-generation #llama3 #chinese #meta #conversational #zh #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| llama-3-8b-instruct-262k-chinese
================================
llama-3-8b-instruct-262k-chinese基于Llama-3-8B-Instruct-262k，使用ORPO方法，在中英文偏好数据集shibing624/DPO-En-Zh-20k-Preference
上微调得到的对话模型。
模型的部署、训练等方法详见MedicalGPT的GitHub仓库：URL
Relate models
-------------
* 完整模型权重：URL
* lora权重：URL
Features
--------
模型优势：
... | [
"# GPUs, 65K: 32, 262K: 32\nParameter: GPU Type, 65K: NVIDIA L40S, 262K: NVIDIA L40S"
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"TAGS\n#transformers #safetensors #llama #text-generation #llama3 #chinese #meta #conversational #zh #en #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
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] |
null | peft |
<!-- 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. -->
# GUE_mouse_3-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_3-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_8192_512_30M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T05:44:40+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_3-seqsight\_8192\_512\_30M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1473
* F1 Score: 0.8409
* Ac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n",
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null | peft |
<!-- 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. -->
# GUE_mouse_3-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_3-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_8192_512_30M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T05:45:08+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_3-seqsight\_8192\_512\_30M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4271
* F1 Score: 0.8532
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | peft |
<!-- 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. -->
# GUE_mouse_2-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_2-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_8192_512_30M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T05:45:12+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_2-seqsight\_8192\_512\_30M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4323
* F1 Score: 0.8749
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | peft |
<!-- 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. -->
# GUE_mouse_2-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_2-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_8192_512_30M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T05:45:29+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_2-seqsight\_8192\_512\_30M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7217
* F1 Score: 0.8810
* Accu... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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null | peft |
<!-- 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. -->
# GUE_mouse_2-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_mouse_2-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_8192_512_30M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T05:46:41+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_mouse\_2-seqsight\_8192\_512\_30M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6645
* F1 Score: 0.8811
* Ac... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* o... | [
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null | peft |
<!-- 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. -->
# GUE_splice_reconstructed-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_3... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_8192_512_30M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T05:46:51+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_splice\_reconstructed-seqsight\_8192\_512\_30M-L1\_f
=========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation set:
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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text-generation | null |
# Cran-May/openbuddy-llama3-8b-v21.1-8k-Q4_K_S-GGUF
This model was converted to GGUF format from [`OpenBuddy/openbuddy-llama3-8b-v21.1-8k`](https://huggingface.co/OpenBuddy/openbuddy-llama3-8b-v21.1-8k) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer t... | {"language": ["zh", "en", "fr", "de", "ja", "ko", "it", "fi"], "license": "other", "tags": ["llama-3", "llama-cpp", "gguf-my-repo"], "pipeline_tag": "text-generation", "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/license/"} | Cran-May/openbuddy-llama3-8b-v21.1-8k-Q4_K_S-GGUF | null | [
"gguf",
"llama-3",
"llama-cpp",
"gguf-my-repo",
"text-generation",
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"fi",
"license:other",
"region:us"
] | null | 2024-04-27T05:48:07+00:00 | [] | [
"zh",
"en",
"fr",
"de",
"ja",
"ko",
"it",
"fi"
] | TAGS
#gguf #llama-3 #llama-cpp #gguf-my-repo #text-generation #zh #en #fr #de #ja #ko #it #fi #license-other #region-us
|
# Cran-May/openbuddy-llama3-8b-v21.1-8k-Q4_K_S-GGUF
This model was converted to GGUF format from 'OpenBuddy/openbuddy-llama3-8b-v21.1-8k' using URL via the URL's GGUF-my-repo space.
Refer to the original model card for more details on the model.
## Use with URL
Install URL through brew.
Invoke the URL server or the... | [
"# Cran-May/openbuddy-llama3-8b-v21.1-8k-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'OpenBuddy/openbuddy-llama3-8b-v21.1-8k' using URL via the URL's GGUF-my-repo space.\nRefer to the original model card for more details on the model.",
"## Use with URL\n\nInstall URL through brew.\n\n\nInvoke the U... | [
"TAGS\n#gguf #llama-3 #llama-cpp #gguf-my-repo #text-generation #zh #en #fr #de #ja #ko #it #fi #license-other #region-us \n",
"# Cran-May/openbuddy-llama3-8b-v21.1-8k-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'OpenBuddy/openbuddy-llama3-8b-v21.1-8k' using URL via the URL's GGUF-my-repo space.\nRe... | [
54,
101,
52
] | [
"TAGS\n#gguf #llama-3 #llama-cpp #gguf-my-repo #text-generation #zh #en #fr #de #ja #ko #it #fi #license-other #region-us \n# Cran-May/openbuddy-llama3-8b-v21.1-8k-Q4_K_S-GGUF\nThis model was converted to GGUF format from 'OpenBuddy/openbuddy-llama3-8b-v21.1-8k' using URL via the URL's GGUF-my-repo space.\nRefer to... |
null | peft |
<!-- 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. -->
# GUE_splice_reconstructed-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_3... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_8192_512_30M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_8192_512_30M",
"region:us"
] | null | 2024-04-27T05:52:18+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_splice\_reconstructed-seqsight\_8192\_512\_30M-L8\_f
=========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation set:
*... | [
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fill-mask | transformers |
<!-- 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. -->
# Pretraining_MFM_v3
This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base)... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/deberta-base", "model-index": [{"name": "Pretraining_MFM_v3", "results": []}]} | JJ-Tae/Pretraining_MFM_v3 | null | [
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#transformers #tensorboard #safetensors #deberta #fill-mask #generated_from_trainer #base_model-microsoft/deberta-base #license-mit #autotrain_compatible #endpoints_compatible #region-us
|
# Pretraining_MFM_v3
This model is a fine-tuned version of microsoft/deberta-base 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 hyperparamet... | [
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null | null |
# CAI-Synthetic Model
## Overview
The CAI-Synthetic Model is a large language model designed to understand and respond to complex questions. This model has been fine-tuned on a synthetic dataset from Mostly AI, allowing it to engage in a variety of contexts with reliable responses. It is designed to perform well in ... | {"license": "gemma", "datasets": ["InnerI/CAI-synthetic-10k"]} | InnerI/CAI-synthetic | null | [
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|
# CAI-Synthetic Model
## Overview
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null | peft |
<!-- 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. -->
# GUE_splice_reconstructed-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_8192_512_30M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_splice\_reconstructed-seqsight\_8192\_512\_30M-L32\_f
==========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation set:
... | [
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null | peft |
<!-- 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. -->
# GUE_tf_0-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hugg... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_0-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_8192_512_30M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_0-seqsight\_8192\_512\_30M-L1\_f
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3607
* F1 Score: 0.8409
* Accuracy: 0.8... | [
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null | peft |
<!-- 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. -->
# GUE_tf_0-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hugg... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_0-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_8192_512_30M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_0-seqsight\_8192\_512\_30M-L8\_f
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3528
* F1 Score: 0.8428
* Accuracy: 0.8... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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null | peft |
<!-- 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. -->
# GUE_tf_0-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hug... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_0-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_8192_512_30M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_0-seqsight\_8192\_512\_30M-L32\_f
==========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3627
* F1 Score: 0.8366
* Accuracy: 0... | [
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feature-extraction | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | ai-human-lab/EEVE-Korean-10.8B-enko-translate-v0.1 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GUE_tf_1-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hugg... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_1-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_8192_512_30M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_1-seqsight\_8192\_512\_30M-L1\_f
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
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* Loss: 0.3506
* F1 Score: 0.8549
* Accuracy: 0.8... | [
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null | transformers |
# Uploaded model
- **Developed by:** xsa-dev
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | xsa-dev/hugs_llama3_technique_ft_16bit | null | [
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<img src="URL width="200"/>
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text-generation | transformers |
# DistilGPT2
DistilGPT2 (short for Distilled-GPT2) is an English-language model pre-trained with the supervision of the smallest version of Generative Pre-trained Transformer 2 (GPT-2). Like GPT-2, DistilGPT2 can be used to generate text. Users of this model card should also consider information about the design, tra... | {"language": "en", "license": "apache-2.0", "tags": ["exbert"], "datasets": ["openwebtext"], "co2_eq_emissions": 149200, "model-index": [{"name": "distilgpt2", "results": [{"task": {"type": "text-generation", "name": "Text Generation"}, "dataset": {"name": "WikiText-103", "type": "wikitext"}, "metrics": [{"type": "perp... | jiajiahong2134/DLhw2 | null | [
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# DistilGPT2
DistilGPT2 (short for Distilled-GPT2) is an English-language model pre-trained with the supervision of the smallest version of Generative Pre-trained Transformer 2 (GPT-2). Like GPT-2, DistilGPT2 can be used to generate text. Users of this model card should also consider information about the design, tra... | [
"# DistilGPT2\n\nDistilGPT2 (short for Distilled-GPT2) is an English-language model pre-trained with the supervision of the smallest version of Generative Pre-trained Transformer 2 (GPT-2). Like GPT-2, DistilGPT2 can be used to generate text. Users of this model card should also consider information about the desig... | [
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null | mlx |
# mlx-community/MXLewd-L2-20B-4bit
This model was converted to MLX format from [`Undi95/MXLewd-L2-20B`]().
Refer to the [original model card](https://huggingface.co/Undi95/MXLewd-L2-20B) for more details on the model.
## Use with mlx
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, ... | {"license": "cc-by-nc-4.0", "tags": ["mlx"]} | mlx-community/MXLewd-L2-20B-4bit | null | [
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"llama",
"license:cc-by-nc-4.0",
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] | null | 2024-04-27T06:02:31+00:00 | [] | [] | TAGS
#mlx #safetensors #llama #license-cc-by-nc-4.0 #region-us
|
# mlx-community/MXLewd-L2-20B-4bit
This model was converted to MLX format from ['Undi95/MXLewd-L2-20B']().
Refer to the original model card for more details on the model.
## Use with mlx
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] |
text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | sophiex/pythia-1b-sft_hh_rlhf | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | Hariharan345/tinyllama-momxchat-v1 | null | [
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null | peft |
<!-- 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. -->
# GUE_tf_1-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hug... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_1-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_8192_512_30M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_1-seqsight\_8192\_512\_30M-L32\_f
==========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3572
* F1 Score: 0.8540
* Accuracy: 0... | [
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null | peft |
<!-- 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. -->
# GUE_tf_1-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hugg... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_1-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_8192_512_30M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_1-seqsight\_8192\_512\_30M-L8\_f
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3453
* F1 Score: 0.8467
* Accuracy: 0.8... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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null | peft |
<!-- 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. -->
# GUE_tf_4-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hugg... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_4-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_8192_512_30M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_4-seqsight\_8192\_512\_30M-L1\_f
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3424
* F1 Score: 0.8517
* Accuracy: 0.8... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GUE_tf_4-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hugg... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_4-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_8192_512_30M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_4-seqsight\_8192\_512\_30M-L8\_f
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3598
* F1 Score: 0.8480
* Accuracy: 0.8... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | uniiiii/wav2vec2-base-timit-demo-colab | null | [
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text-generation | transformers | Quantizations of https://huggingface.co/Nexusflow/Starling-LM-7B-beta
# From original readme
## 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. -->
**Important: Please use the exact chat template provided below fo... | {"language": ["en"], "license": "other", "tags": ["transformers", "gguf", "imatrix", "Starling-LM-7B-beta"], "pipeline_tag": "text-generation", "inference": false} | duyntnet/Starling-LM-7B-beta-imatrix-GGUF | null | [
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| Quantizations of URL
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Important: Please use the exact chat template provided below for the model. Otherwise there will be a degradation in the performance. The model output can be verbose in rare cases. Please consider setting temperature = 0 to make this happen less.
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null | peft |
<!-- 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. -->
# GUE_tf_4-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hug... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_4-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_4-seqsight_8192_512_30M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_4-seqsight\_8192\_512\_30M-L32\_f
==========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_4 dataset.
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* Loss: 0.5419
* F1 Score: 0.8429
* Accuracy: 0... | [
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null | peft |
<!-- 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. -->
# GUE_tf_3-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hugg... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_3-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_8192_512_30M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_3-seqsight\_8192\_512\_30M-L1\_f
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5449
* F1 Score: 0.7169
* Accuracy: 0.7... | [
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null | peft |
<!-- 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. -->
# GUE_tf_3-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hug... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_3-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_8192_512_30M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_3-seqsight\_8192\_512\_30M-L32\_f
==========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5253
* F1 Score: 0.7283
* Accuracy: 0... | [
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null | peft |
<!-- 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. -->
# GUE_tf_3-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hugg... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_3-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_8192_512_30M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_3-seqsight\_8192\_512\_30M-L8\_f
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5216
* F1 Score: 0.7278
* Accuracy: 0.7... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swj0419/bbc_retrain_new_STEP0000050 | null | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GUE_tf_2-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hugg... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_2-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_8192_512_30M-L1_f | null | [
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| GUE\_tf\_2-seqsight\_8192\_512\_30M-L1\_f
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4464
* F1 Score: 0.7959
* Accuracy: 0.7... | [
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image-classification | transformers |
<!-- 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. -->
# Boya1_RMSProp_1-e5_10Epoch_swinv2-tiny-patch4-window16-256_fold1
This model is a fine-tuned version of [microsoft/swinv2-tiny-pa... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "metrics": ["accuracy"], "base_model": "microsoft/swinv2-tiny-patch4-window16-256", "model-index": [{"name": "Boya1_RMSProp_1-e5_10Epoch_swinv2-tiny-patch4-window16-256_fold1", "results": [{"task": {"type": "image-classification"... | onizukal/Boya1_RMSProp_1-e5_10Epoch_swinv2-tiny-patch4-window16-256_fold1 | null | [
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| Boya1\_RMSProp\_1-e5\_10Epoch\_swinv2-tiny-patch4-window16-256\_fold1
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cmpktheo/gemma-2b-ft-G2E | null | [
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null | transformers |
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### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | zandfj/LLaMA2-7B-Chat_sft_moren_dpo_z_moren_042713 | null | [
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|
# Model Card for Model ID
## Model Details
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-classification | transformers |
<!-- 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. -->
# NDD-ppma_test-content_tags
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-bas... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NDD-ppma_test-content_tags", "results": []}]} | lgk03/NDD-ppma_test-content_tags | null | [
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| NDD-ppma\_test-content\_tags
============================
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3296
* Accuracy: 0.7930
* F1: 0.8297
* Precision: 0.9284
* Recall: 0.7930
Model description
------------... | [
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null | peft |
<!-- 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. -->
# GUE_tf_2-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hugg... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_2-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_8192_512_30M-L8_f | null | [
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| GUE\_tf\_2-seqsight\_8192\_512\_30M-L8\_f
=========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4597
* F1 Score: 0.7837
* Accuracy: 0.7... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | HenryCai1129/adapter-llama-adapterhappy2sad-study-50-0.009 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- 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. -->
# GUE_tf_2-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https://hug... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_tf_2-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_2-seqsight_8192_512_30M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_tf\_2-seqsight\_8192\_512\_30M-L32\_f
==========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_tf\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4885
* F1 Score: 0.7820
* Accuracy: 0... | [
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text-generation | transformers |
# Qwen1.5-110B-Chat-AWQ
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
* 9 model sizes, including 0.5B, 1.8B, 4B, 7B, 14B, 32B, 72B, and 110B dense ... | {"language": ["en"], "license": "other", "tags": ["chat"], "license_name": "tongyi-qianwen", "license_link": "https://huggingface.co/Qwen/Qwen1.5-110B-Chat-AWQ/blob/main/LICENSE", "pipeline_tag": "text-generation"} | Qwen/Qwen1.5-110B-Chat-AWQ | null | [
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|
# Qwen1.5-110B-Chat-AWQ
## Introduction
Qwen1.5 is the beta version of Qwen2, a transformer-based decoder-only language model pretrained on a large amount of data. In comparison with the previous released Qwen, the improvements include:
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swj0419/bbc_retrain_new_STEP0000100 | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# GUE_virus_covid-seqsight_8192_512_30M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_virus_covid-seqsight_8192_512_30M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_virus_covid-seqsight_8192_512_30M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_virus\_covid-seqsight\_8192\_512\_30M-L8\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_virus\_covid dataset.
It achieves the following results on the evaluation set:
* Loss: 1.2289
* F1 Score: 0... | [
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null | peft |
<!-- 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. -->
# GUE_virus_covid-seqsight_8192_512_30M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_virus_covid-seqsight_8192_512_30M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_virus_covid-seqsight_8192_512_30M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_virus\_covid-seqsight\_8192\_512\_30M-L1\_f
================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_virus\_covid dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6492
* F1 Score: 0... | [
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null | peft |
<!-- 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. -->
# GUE_prom_prom_300_tata-seqsight_16384_512_22M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_2... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_prom_prom_300_tata-seqsight_16384_512_22M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_tata-seqsight_16384_512_22M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_prom\_prom\_300\_tata-seqsight\_16384\_512\_22M-L1\_f
==========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_tata dataset.
It achieves the following results on the evaluation set:
... | [
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null | peft |
<!-- 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. -->
# GUE_virus_covid-seqsight_8192_512_30M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_8192_512_30M](http... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_8192_512_30M", "model-index": [{"name": "GUE_virus_covid-seqsight_8192_512_30M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_virus_covid-seqsight_8192_512_30M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_8192_512_30M #region-us
| GUE\_virus\_covid-seqsight\_8192\_512\_30M-L32\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_8192\_512\_30M on the mahdibaghbanzadeh/GUE\_virus\_covid dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0241
* F1 Score:... | [
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null | peft |
<!-- 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. -->
# GUE_prom_prom_300_tata-seqsight_16384_512_22M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_2... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_prom_prom_300_tata-seqsight_16384_512_22M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_tata-seqsight_16384_512_22M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_prom\_prom\_300\_tata-seqsight\_16384\_512\_22M-L8\_f
==========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_tata dataset.
It achieves the following results on the evaluation set:
... | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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|
# Model Card for Model ID
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null | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
bloomz-7b1 - bnb 4bits
- Model creator: https://huggingface.co/bigscience/
- Original model: https://huggingface.co/bigscien... | {} | RichardErkhov/bigscience_-_bloomz-7b1-4bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
bloomz-7b1 - bnb 4bits
* Model creator: URL
* Original model: URL
Original model description:
---------------------------
datasets:
* bigscience/xP3
license: bigscience-bloom-rail-1.0
language:
* ak
* ar
* as
* bm
* bn
* ca
* code
*... | [
"### CPU\n\n\n\n Click to expand",
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text-to-image | diffusers |
<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->
# SDXL LoRA DreamBooth - embracellm/sushi_LoRA
<Gallery />
## Model description
These are embracellm/sushi_LoRA LoRA ad... | {"license": "openrail++", "library_name": "diffusers", "tags": ["text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stable-diffusion-xl", "stable-diffusion-xl-diffusers", "text-to-image", "text-to-image", "diffusers-training", "diffusers", "dora", "template:sd-lora", "stabl... | embracellm/sushi_LoRA | null | [
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|
# SDXL LoRA DreamBooth - embracellm/sushi_LoRA
<Gallery />
## Model description
These are embracellm/sushi_LoRA LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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null | peft |
<!-- 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. -->
# GUE_prom_prom_300_tata-seqsight_16384_512_22M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_prom_prom_300_tata-seqsight_16384_512_22M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_tata-seqsight_16384_512_22M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_prom\_prom\_300\_tata-seqsight\_16384\_512\_22M-L32\_f
===========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_tata dataset.
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | swj0419/bbc_retrain_new_STEP0000150 | null | [
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# Model Card for Model ID
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text-generation | transformers |
# Model Card for Model ID
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null | peft |
<!-- 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. -->
# GUE_prom_prom_300_notata-seqsight_16384_512_22M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_16384_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_16384_512_22M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_16384_512_22M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_16384_512_22M-L1_f | null | [
"peft",
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"base_model:mahdibaghbanzadeh/seqsight_16384_512_22M",
"region:us"
] | null | 2024-04-27T06:35:04+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_16384_512_22M #region-us
| GUE\_prom\_prom\_300\_notata-seqsight\_16384\_512\_22M-L1\_f
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_16384\_512\_22M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
It achieves the following results on the evaluation... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
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"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* ... | [
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null | transformers |
# Model Card for Model ID
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## Model Details
### Model Description
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# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pruning/55p1wba | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | pruning/9cd8j0p | null | [
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