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reinforcement-learning | sample-factory |
A(n) **APPO** model trained on the **doom_health_gathering_supreme** environment.
This model was trained using Sample-Factory 2.0: https://github.com/alex-petrenko/sample-factory.
Documentation for how to use Sample-Factory can be found at https://www.samplefactory.dev/
## Downloading the model
After installing Sa... | {"library_name": "sample-factory", "tags": ["deep-reinforcement-learning", "reinforcement-learning", "sample-factory"], "model-index": [{"name": "APPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "doom_health_gathering_supreme", "type": "doom_health_ga... | aw-infoprojekt/rl_course_vizdoom_health_gathering_supreme | null | [
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|
A(n) APPO model trained on the doom_health_gathering_supreme environment.
This model was trained using Sample-Factory 2.0: URL
Documentation for how to use Sample-Factory can be found at URL
## Downloading the model
After installing Sample-Factory, download the model with:
## Using the model
To run the mod... | [
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text-generation | transformers |
# mlx-community/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0
This model was converted to MLX format from [`llm-jp/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingface.co/llm-jp/ll... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mlx"], "datasets": ["databricks/databricks-dolly-15k", "llm-jp/databricks-dolly-15k-ja", "llm-jp/oasst1-21k-en", "llm-jp/oasst1-21k-ja", "llm-jp/oasst2-33k-en", "llm-jp/oasst2-33k-ja"], "programming_language": ["C", "C++", "C#... | mlx-community/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0 | null | [
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# mlx-community/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0
This model was converted to MLX format from ['llm-jp/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0']() using mlx-lm version 0.12.0.
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## Use ... | [
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text-to-image | diffusers |
# 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 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
... | {"library_name": "diffusers"} | Niggendar/mightMixes15Ponyxl_pxlBlastwrx | null | [
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#diffusers #safetensors #arxiv-1910.09700 #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a diffusers model that has been pushed on the Hub. This model card has been automatically generated.
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when ... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"} | Mihaiii/test16 | null | [
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|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can u... | [
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reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingface_sb3 ... | {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | Chhabi/PPO-LunarLander-v2 | null | [
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#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
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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. -->
# robust_llm_pythia-31m_mz-133_WordLength_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-133_WordLength_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-133_WordLength_n-its-10-seed-3 | null | [
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"base_model:EleutherAI/pythia-31m",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T06:29:09+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-31m_mz-133_WordLength_n-its-10-seed-3
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training ... | [
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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. -->
# taide_llama3_8b_lora_completion_only
This model is a fine-tuned version of [taide/Llama3-TAIDE-LX-8B-Chat-Alpha1](https://huggin... | {"language": ["zh"], "license": "other", "library_name": "peft", "tags": ["trl", "sft", "nycu-112-2-deeplearning-hw2", "generated_from_trainer"], "datasets": ["DandinPower/ZH-Reading-Comprehension-Llama-Instruct"], "base_model": "taide/Llama3-TAIDE-LX-8B-Chat-Alpha1", "model-index": [{"name": "taide_llama3_8b_lora_comp... | DandinPower/taide_llama3_8b_lora_completion_only | null | [
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| taide\_llama3\_8b\_lora\_completion\_only
=========================================
This model is a fine-tuned version of taide/Llama3-TAIDE-LX-8B-Chat-Alpha1 on the DandinPower/ZH-Reading-Comprehension-Llama-Instruct dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0968
Model descripti... | [
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text-generation | transformers | # starcoder2-15b-instruct-v0.1-GGUF
- Original model: [starcoder2-15b-instruct-v0.1](https://huggingface.co/bigcode/starcoder2-15b-instruct-v0.1)
<!-- description start -->
## Description
This repo contains GGUF format model files for [starcoder2-15b-instruct-v0.1](https://huggingface.co/bigcode/starcoder2-15b-instru... | {"license": "bigcode-openrail-m", "library_name": "transformers", "tags": ["code", "GGUF"], "datasets": ["bigcode/self-oss-instruct-sc2-exec-filter-50k"], "base_model": "bigcode/starcoder2-15b", "pipeline_tag": "text-generation", "quantized_by": "andrijdavid", "model-index": [{"name": "starcoder2-15b-instruct-v0.1", "r... | LiteLLMs/starcoder2-15b-instruct-v0.1-GGUF | null | [
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"gguf",
"code",
"GGUF",
"text-generation",
"dataset:bigcode/self-oss-instruct-sc2-exec-filter-50k",
"base_model:bigcode/starcoder2-15b",
"license:bigcode-openrail-m",
"model-index",
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"region:us"
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| # starcoder2-15b-instruct-v0.1-GGUF
- Original model: starcoder2-15b-instruct-v0.1
## Description
This repo contains GGUF format model files for starcoder2-15b-instruct-v0.1.
### About GGUF
GGUF is a new format introduced by the URL team on August 21st 2023. It is a replacement for GGML, which is no longer suppor... | [
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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. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "datas... | nanashi999/distilbert-base-uncased-finetuned-emotion | null | [
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| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2222
* Accuracy: 0.927
* F1: 0.9270
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
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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": ["unsloth"]} | russgeo/lecw | null | [
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#transformers #safetensors #unsloth #arxiv-1910.09700 #endpoints_compatible #region-us
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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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- Funded by [optional]:
- Shared by [optional]:
- Model type:
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 1.0657285451889038
f1_macro: 0.2095479509928179
f1_micro: 0.4584103512014787
f1_weighted: 0.2881768494245037
precision_macro: 0.1528034504004929
precision_micro: 0.4584103512014787
precision_weighted: 0.210140050088... | {"tags": ["autotrain", "text-classification"], "datasets": ["actsa-distilbert/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | DarkPhantom323/actsa-distilbert | null | [
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# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 1.0657285451889038
f1_macro: 0.2095479509928179
f1_micro: 0.4584103512014787
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precision_micro: 0.4584103512014787
precision_weighted: 0.210140050088... | [
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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_H3K4me3-seqsight_32768_512_43M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3K4me3-seqsight_32768_512_43M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me3-seqsight_32768_512_43M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-30T06:35:53+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H3K4me3-seqsight\_32768\_512\_43M-L32\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6628
* F1 Sco... | [
"### 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_EMP_H4-seqsight_32768_512_43M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H4-seqsight_32768_512_43M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_32768_512_43M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-30T06:36:38+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H4-seqsight\_32768\_512\_43M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2537
* F1 Score: 0.9048
* 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_EMP_H4-seqsight_32768_512_43M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H4-seqsight_32768_512_43M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_32768_512_43M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-30T06:36:39+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H4-seqsight\_32768\_512\_43M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2507
* F1 Score: 0.9041
* 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_EMP_H3-seqsight_32768_512_43M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3-seqsight_32768_512_43M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_32768_512_43M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-30T06:37:05+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H3-seqsight\_32768\_512\_43M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3170
* F1 Score: 0.8730
* 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_EMP_H4-seqsight_32768_512_43M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H4-seqsight_32768_512_43M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_32768_512_43M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-30T06:37:07+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H4-seqsight\_32768\_512\_43M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2456
* F1 Score: 0.9063
* 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. -->
# phi3nedtuned-ner
This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3... | {"license": "mit", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "microsoft/Phi-3-mini-4k-instruct", "model-index": [{"name": "checkpoint_dir", "results": []}]} | shujatoor/phi3nedtuned-ner | null | [
"peft",
"tensorboard",
"safetensors",
"trl",
"sft",
"generated_from_trainer",
"dataset:generator",
"base_model:microsoft/Phi-3-mini-4k-instruct",
"license:mit",
"region:us"
] | null | 2024-04-30T06:41:58+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #dataset-generator #base_model-microsoft/Phi-3-mini-4k-instruct #license-mit #region-us
|
# phi3nedtuned-ner
This model is a fine-tuned version of microsoft/Phi-3-mini-4k-instruct on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6568
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluat... | [
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"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"#... | [
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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_H3-seqsight_32768_512_43M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3-seqsight_32768_512_43M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_32768_512_43M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-30T06:43:48+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H3-seqsight\_32768\_512\_43M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3077
* F1 Score: 0.8791
* 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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question-answering | 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. -->
# question_answering
This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert/distilbert-base-uncased", "model-index": [{"name": "question_answering", "results": []}]} | madanagrawal/question_answering | null | [
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| question\_answering
===================
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.6818
Model description
-----------------
More information needed
Intended uses & limitations
--------------... | [
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text-generation | transformers |
# The AWQ version
This is the AWQ version of [MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct](https://huggingface.co/MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct) for the enthusiasts
<center>
<img src="https://cdn-uploads.huggingface.co/production/uploads/6116d0584ef9fdfbf45dc4d9/4VqGvuqtWgLOTavTV861j.png">
</cente... | {"language": ["ar", "en"], "license": "llama3", "library_name": "transformers", "model_name": "Arabic ORPO 8B chat", "pipeline_tag": "text-generation", "model_type": "llama3", "quantized_by": "MohamedRashad"} | MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct-AWQ | null | [
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|
# The AWQ version
This is the AWQ version of MohamedRashad/Arabic-Orpo-Llama-3-8B-Instruct for the enthusiasts
<center>
<img src="URL
</center>
## How to use, you ask ?
First, Update your packages
Now, Copy and Run
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audio-classification | speechbrain |
# VoxLingua107 ECAPA-TDNN Spoken Language Identification Model
## Model description
This is a spoken language recognition model trained on the VoxLingua107 dataset using SpeechBrain.
The model uses the ECAPA-TDNN architecture that has previously been used for speaker recognition. However, it uses
more fully connecte... | {"language": ["multilingual", "ab", "af", "am", "ar", "as", "az", "ba", "be", "bg", "bi", "bo", "br", "bs", "ca", "ceb", "cs", "cy", "da", "de", "el", "en", "eo", "es", "et", "eu", "fa", "fi", "fo", "fr", "gl", "gn", "gu", "gv", "ha", "haw", "hi", "hr", "ht", "hu", "hy", "ia", "id", "is", "it", "he", "ja", "jv", "ka", ... | botdevringring/lang-id-voxlingua107-ecapa | null | [
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... | TAGS
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# VoxLingua107 ECAPA-TDNN Spoken Language Identification Model
## Model description
This is a spoken language recognition model trained on the VoxLingua107 dataset using SpeechBrain.
The model uses the ECAPA-TDNN architecture that has previously been used for speaker recognition. However, it uses
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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": []} | abc88767/model15 | 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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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/sushi06_LoRA
<Gallery />
## Model description
These are embracellm/sushi06_LoRA LoR... | {"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/sushi06_LoRA | null | [
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# SDXL LoRA DreamBooth - embracellm/sushi06_LoRA
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.34203216433525085
f1_macro: 0.9457020850649197
f1_micro: 0.946067415730337
f1_weighted: 0.9461015789750475
precision_macro: 0.9447370569809594
precision_micro: 0.946067415730337
precision_weighted: 0.9466487598452... | {"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-7ejr4-3wbhb/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | NawinCom/autotrain-7ejr4-3wbhb | null | [
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# Model Trained Using AutoTrain
- Problem type: Text Classification
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text-generation | transformers | This model is a version of mistralai/Mistral-7B-v0.1 that has been fine-tuned with Our In House CustomData.
Train Spec :
We utilized an A100x4 * 1 for training our model
with DeepSpeed / HuggingFace TRL Trainer / HuggingFace Accelerate | {"language": ["ko"], "license": "cc-by-nc-4.0", "datasets": ["Custom_datasets"], "pipeline_tag": "text-generation", "base_model": "mistralai/Mistral-7B-v0.1"} | Alphacode-AI/AlphaMist7B-slr-v4 | 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_EMP_H3-seqsight_32768_512_43M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3-seqsight_32768_512_43M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_32768_512_43M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H3-seqsight\_32768\_512\_43M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
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* Loss: 0.3075
* F1 Score: 0.8811
* Ac... | [
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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_H4ac-seqsight_32768_512_43M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_32768_512_43M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_32768_512_43M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H4ac-seqsight\_32768\_512\_43M-L1\_f
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5568
* F1 Score: 0.7302
... | [
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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-addressbook_test-content
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "NDD-addressbook_test-content", "results": []}]} | lgk03/NDD-addressbook_test-content | null | [
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#transformers #tensorboard #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| NDD-addressbook\_test-content
=============================
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: 0.1234
* Accuracy: 0.9794
* F1: 0.9795
* Precision: 0.9795
* Recall: 0.9794
Model description
----------... | [
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text-classification | 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": []} | liuyuxiang/wiki_cs_retriever | 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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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_H4ac-seqsight_32768_512_43M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_32768_512_43M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_32768_512_43M-L8_f | null | [
"peft",
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H4ac-seqsight\_32768\_512\_43M-L8\_f
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5503
* F1 Score: 0.7420
... | [
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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_H4ac-seqsight_32768_512_43M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_32768_512_43M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_32768_512_43M-L32_f | null | [
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"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-30T06:52:58+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H4ac-seqsight\_32768\_512\_43M-L32\_f
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5495
* F1 Score: 0.746... | [
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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_H3K79me3-seqsight_32768_512_43M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_32768_512_43M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_32768_512_43M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_32768\_512\_43M-L1\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4417
* F1 Sc... | [
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null | null | # Model Card: North Mistral 7B - GGML
## Model Overview
The **North Mistral 7B** is part of a series of research experiements into creating Scandinavian LLMs. The current versions are pretrained only, so they will have to be finetuned before used. This repo provides experiemental GGML-versions of these models.
## Mod... | {"license": "mit"} | north/north-mistral-7b-ggml | null | [
"gguf",
"license:mit",
"region:us"
] | null | 2024-04-30T06:53:42+00:00 | [] | [] | TAGS
#gguf #license-mit #region-us
| Model Card: North Mistral 7B - GGML
===================================
Model Overview
--------------
The North Mistral 7B is part of a series of research experiements into creating Scandinavian LLMs. The current versions are pretrained only, so they will have to be finetuned before used. This repo provides experie... | [] | [
"TAGS\n#gguf #license-mit #region-us \n"
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13
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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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width... | {"license": "llama2", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "meta-llama/CodeLlama-7b-Instruct-hf", "model-index": [{"name": "mergeLlama-7b-Instruct-hf-quantized-peft-decompile", "results": []}]} | curtisxu/mergeLlama-7b-Instruct-hf-quantized-peft-decompile | null | [
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"license:llama2",
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#peft #tensorboard #safetensors #trl #sft #generated_from_trainer #base_model-meta-llama/CodeLlama-7b-Instruct-hf #license-llama2 #region-us
|
<img src="URL alt="Visualize in Weights & Biases" width="200" height="32"/>
# mergeLlama-7b-Instruct-hf-quantized-peft-decompile
This model is a fine-tuned version of meta-llama/CodeLlama-7b-Instruct-hf on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More infor... | [
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null | null |
<!-- 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. -->
# O0430HMA1
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "O0430HMA1", "results": []}]} | Litzy619/O0430HMA1 | null | [
"safetensors",
"generated_from_trainer",
"base_model:allenai/OLMo-1B",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T06:55:38+00:00 | [] | [] | TAGS
#safetensors #generated_from_trainer #base_model-allenai/OLMo-1B #license-apache-2.0 #region-us
| O0430HMA1
=========
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0203
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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null | 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. -->
# mamba_text_classification
This model was trained from scratch on an unknown dataset.
It achieves the following results on the ev... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "mamba_text_classification", "results": []}]} | TRanHieu009/mamba_text_classification | null | [
"transformers",
"pytorch",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T06:57:09+00:00 | [] | [] | TAGS
#transformers #pytorch #generated_from_trainer #endpoints_compatible #region-us
| mamba\_text\_classification
===========================
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2144
* Accuracy: 0.944
Model description
-----------------
More information needed
Intended uses & limitations
-----------------... | [
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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. -->
# robust_llm_pythia-31m_mz-133_WordLength_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-133_WordLength_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-133_WordLength_n-its-10-seed-2 | null | [
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"gpt_neox",
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"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T06:57:28+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-31m_mz-133_WordLength_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training ... | [
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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. -->
# final_V1-bert-text-classification-model
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-ba... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "bert-base-uncased", "model-index": [{"name": "final_V1-bert-text-classification-model", "results": []}]} | AmirlyPhd/final_V1-bert-text-classification-model | null | [
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| final\_V1-bert-text-classification-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: 0.1498
* Accuracy: 0.9713
* F1: 0.8341
* Precision: 0.8330
* Recall: 0.8356
Model descri... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* lr\\_scheduler\\_warmup\\_steps... | [
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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. -->
# robust_llm_pythia-31m_mz-133_WordLength_n-its-10-seed-1
This model is a fine-tuned version of [EleutherAI/pythia-31m](https://hu... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-31m", "model-index": [{"name": "robust_llm_pythia-31m_mz-133_WordLength_n-its-10-seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-31m_mz-133_WordLength_n-its-10-seed-1 | null | [
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|
# robust_llm_pythia-31m_mz-133_WordLength_n-its-10-seed-1
This model is a fine-tuned version of EleutherAI/pythia-31m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training ... | [
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null | null |
# Alex01837178373/saiga_llama3_8b-Q5_K_M-GGUF
This model was converted to GGUF format from [`IlyaGusev/saiga_llama3_8b`](https://huggingface.co/IlyaGusev/saiga_llama3_8b) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model card](http... | {"language": ["ru"], "license": "other", "tags": ["llama-cpp", "gguf-my-repo"], "datasets": ["IlyaGusev/saiga_scored"], "license_name": "llama3", "license_link": "https://llama.meta.com/llama3/license/"} | Alex01837178373/saiga_llama3_8b-Q5_K_M-GGUF | null | [
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|
# Alex01837178373/saiga_llama3_8b-Q5_K_M-GGUF
This model was converted to GGUF format from 'IlyaGusev/saiga_llama3_8b' 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 CLI.
CLI:
Serv... | [
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question-answering | 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. -->
# roberta-finetuned-restaurant
This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "base_model": "deepset/roberta-base-squad2", "model-index": [{"name": "roberta-finetuned-restaurant", "results": []}]} | pltnhan311/roberta-finetuned-restaurant | null | [
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|
# roberta-finetuned-restaurant
This model is a fine-tuned version of deepset/roberta-base-squad2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training... | [
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text-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.11368879675865173
f1_macro: 0.9748328397861948
f1_micro: 0.9752808988764045
f1_weighted: 0.9752071164560256
precision_macro: 0.9752973544608207
precision_micro: 0.9752808988764045
precision_weighted: 0.97560125804... | {"tags": ["autotrain", "text-classification"], "datasets": ["BBC/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]} | NawinCom/BBC | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Text Classification
## Validation Metrics
loss: 0.11368879675865173
f1_macro: 0.9748328397861948
f1_micro: 0.9752808988764045
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precision_macro: 0.9752973544608207
precision_micro: 0.9752808988764045
precision_weighted: 0.97560125804... | [
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sentence-similarity | sentence-transformers |
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
<!--- Describe your model here -->
## Usage (Sentence-Transformers)
Using this model becomes easy when... | {"library_name": "sentence-transformers", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "sentence-similarity"} | nntoan209/bgem3-generic-msmarco-squadv2-tvpl-newssapo | null | [
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|
# {MODEL_NAME}
This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have sentence-transformers installed:
Then you can ... | [
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image-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.223019078373909
f1_macro: 0.8656901233453752
f1_micro: 0.9238648002731308
f1_weighted: 0.9239248911195606
precision_macro: 0.928029530990028
precision_micro: 0.9238648002731308
precision_weighted: 0.9287629201629... | {"tags": ["autotrain", "image-classification"], "datasets": ["autotrain-vit-base-patch16-224/autotrain-data"], "widget": [{"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg", "example_title": "Tiger"}, {"src": "https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jp... | Kushagra07/autotrain-vit-base-patch16-224 | null | [
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|
# Model Trained Using AutoTrain
- Problem type: Image Classification
## Validation Metrics
loss: 0.223019078373909
f1_macro: 0.8656901233453752
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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": ["trl", "sft"]} | likhithasapu/codemix-indicbart-sft-notchat | 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
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text-generation | transformers |
# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
# Usage
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "PATH_TO_THIS_REPO"
tokenizer = AutoTokenizer.from_pretrained(model_pat... | {"license": "other", "library_name": "transformers", "tags": ["autotrain", "text-generation-inference", "text-generation", "peft"], "widget": [{"messages": [{"role": "user", "content": "What is your favorite condiment?"}]}]} | dmtkeler/autotrain-do2iw-wsghc | null | [
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# Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
# Usage
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text-generation | transformers |
## モデル
- ベースモデル：[ryota39/llm-jp-1b-sft-100k-LoRA](https://huggingface.co/ryota39/llm-jp-1b-sft-100k-LoRA)
- 学習データセット：[ryota39/dpo-ja-194k](https://huggingface.co/datasets/ryota39/dpo-ja-194k)
- 学習方式：フルパラメータチューニング
## サンプル
```python
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer... | {"language": ["ja"], "license": "cc", "library_name": "transformers", "tags": ["dpo"], "datasets": ["ryota39/dpo-ja-194k"]} | ryota39/llm-jp-1b-sft-100k-LoRA-kto-194k | null | [
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"gpt2",
"text-generation",
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"ja",
"dataset:ryota39/dpo-ja-194k",
"license:cc",
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"endpoints_compatible",
"text-generation-inference",
"region:us"
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"ja"
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|
## モデル
- ベースモデル：ryota39/llm-jp-1b-sft-100k-LoRA
- 学習データセット：ryota39/dpo-ja-194k
- 学習方式：フルパラメータチューニング
## サンプル
## 出力例
## 謝辞
本成果は【LOCAL AI HACKATHON #001】240時間ハッカソンの成果です。
運営の方々に深く御礼申し上げます。
- 【メタデータラボ株式会社】様
- 【AI声づくり技術研究会】
- サーバー主：やなぎ(Yanagi)様
- 【ローカルLLMに向き合う会】
- サーバー主：saldra(サルドラ)様
メタデータラボ、日本最大規模のAIハッカソン「LO... | [
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text-generation | transformers |
# mlx-community/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0
This model was converted to MLX format from [`llm-jp/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://huggingfac... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mlx"], "datasets": ["databricks/databricks-dolly-15k", "llm-jp/databricks-dolly-15k-ja", "llm-jp/oasst1-21k-en", "llm-jp/oasst1-21k-ja", "llm-jp/oasst2-33k-en", "llm-jp/oasst2-33k-ja"], "programming_language": ["C", "C++", "C#... | mlx-community/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0 | null | [
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"dataset:llm-jp/oasst1-21k-ja",
"dataset:llm-jp/oasst2-33k-en",
"dataset:llm-... | null | 2024-04-30T07:05:50+00:00 | [] | [
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# mlx-community/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0
This model was converted to MLX format from ['llm-jp/llm-jp-13b-instruct-full-ac_001-dolly-ichikara_004_001_single-oasst-oasst2-v2.0']() using mlx-lm version 0.12.0.
Refer to the original model card for more details on the ... | [
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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": []} | rbgo/inferless-Llama-3-8B | null | [
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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]:
- Shared by [optional]:
- 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_EMP_H3K79me3-seqsight_32768_512_43M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_32768_512_43M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_32768_512_43M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-30T07:07:35+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_32768\_512\_43M-L8\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4470
* F1 Sc... | [
"### 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_EMP_H3K79me3-seqsight_32768_512_43M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_32768_512_43M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_32768_512_43M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-30T07:07:35+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_32768\_512\_43M-L32\_f
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4576
* F1 ... | [
"### 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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automatic-speech-recognition | 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. -->
# Whisper Small Hi - Bandu Mulla
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whispe... | {"language": ["hi"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_11_0"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Hi - Bandu Mulla", "results": []}]} | bmulla7/whisper-small-hi | null | [
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|
# Whisper Small Hi - Bandu Mulla
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.3523
- eval_wer: 33.6621
- eval_runtime: 1373.0171
- eval_samples_per_second: 2.108
- eval_steps_per_second: 0.264
- e... | [
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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_H3K4me1-seqsight_32768_512_43M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_32768_512_43M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_32768_512_43M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-30T07:07:56+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_32768\_512\_43M-L1\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5160
* F1 Score... | [
"### 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_EMP_H3K4me1-seqsight_32768_512_43M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_32768_512_43M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_32768_512_43M-L8_f | null | [
"peft",
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"generated_from_trainer",
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"region:us"
] | null | 2024-04-30T07:07:56+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_32768\_512\_43M-L8\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5223
* F1 Score... | [
"### 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_EMP_H3K4me1-seqsight_32768_512_43M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_32768_512_43M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_32768_512_43M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-30T07:08:14+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_32768\_512\_43M-L32\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5134
* F1 Sco... | [
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... | [
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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": []} | mintujupally/gpt2-med-ft | null | [
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"gpt2",
"text-generation",
"arxiv:1910.09700",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T07:08:26+00:00 | [
"1910.09700"
] | [] | TAGS
#transformers #safetensors #gpt2 #text-generation #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]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | null |
# MistrollPercival_01-7B
MistrollPercival_01-7B is an automated merge created by [Maxime Labonne](https://huggingface.co/mlabonne) using the following configuration.
## 🧩 Configuration
```yaml
models:
- model: mistralai/Mistral-7B-v0.1
- model: BarraHome/Mistroll-7B-v2.2
- model: AurelPx/Percival_01-7b-slerp... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "automerger"]} | automerger/MistrollPercival_01-7B | null | [
"merge",
"mergekit",
"lazymergekit",
"automerger",
"license:apache-2.0",
"region:us"
] | null | 2024-04-30T07:11:19+00:00 | [] | [] | TAGS
#merge #mergekit #lazymergekit #automerger #license-apache-2.0 #region-us
|
# MistrollPercival_01-7B
MistrollPercival_01-7B is an automated merge created by Maxime Labonne using the following configuration.
## Configuration
## Usage
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] |
null | null | This repo contains GGUF format model files for [
Svenni551's gemma-2b-it-toxic-v2.0](https://huggingface.co/Svenni551/gemma-2b-it-toxic-v2.0). | {} | Blombert/gemma-2b-it-toxic-v2.0-GGUF | null | [
"gguf",
"region:us"
] | null | 2024-04-30T07:14:38+00:00 | [] | [] | TAGS
#gguf #region-us
| This repo contains GGUF format model files for
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"TAGS\n#gguf #region-us \n"
] | [
9
] | [
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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. -->
# Meta-Llama-3-8B-Instruct_fictional_arc_Japanese_v2
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](h... | {"license": "other", "tags": ["trl", "sft", "generated_from_trainer"], "datasets": ["generator"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "Meta-Llama-3-8B-Instruct_fictional_arc_Japanese_v2", "results": []}]} | yzhuang/Meta-Llama-3-8B-Instruct_fictional_arc_Japanese_v2 | null | [
"transformers",
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"base_model:meta-llama/Meta-Llama-3-8B-Instruct",
"license:other",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inf... | null | 2024-04-30T07:14:52+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #llama #text-generation #trl #sft #generated_from_trainer #conversational #dataset-generator #base_model-meta-llama/Meta-Llama-3-8B-Instruct #license-other #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Meta-Llama-3-8B-Instruct_fictional_arc_Japanese_v2
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
... | [
"# Meta-Llama-3-8B-Instruct_fictional_arc_Japanese_v2\n\nThis model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the generator dataset.",
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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_32768_512_43M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_32768_512_43M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_32768_512_43M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-30T07:14:54+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H3K36me3-seqsight\_32768\_512\_43M-L1\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4599
* F1 Sc... | [
"### 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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reinforcement-learning | stable-baselines3 |
# **A2C** Agent playing **PandaReachDense-v3**
This is a trained model of a **A2C** agent playing **PandaReachDense-v3**
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
```python
from stable_baselines3 import ...
from huggingf... | {"library_name": "stable-baselines3", "tags": ["PandaReachDense-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "A2C", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "PandaReachDense-v3", "type":... | lightyip/a2c-PandaReachDense-v3 | null | [
"stable-baselines3",
"PandaReachDense-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2024-04-30T07:16:52+00:00 | [] | [] | TAGS
#stable-baselines3 #PandaReachDense-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# A2C Agent playing PandaReachDense-v3
This is a trained model of a A2C agent playing PandaReachDense-v3
using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
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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_32768_512_43M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_32768_512_43M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_32768_512_43M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_32768_512_43M",
"region:us"
] | null | 2024-04-30T07:17:33+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_EMP\_H3K36me3-seqsight\_32768\_512\_43M-L8\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4417
* F1 Sc... | [
"### 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-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. -->
# robust_llm_pythia-1b_mz-131_IMDB
This model is a fine-tuned version of [EleutherAI/pythia-1b](https://huggingface.co/EleutherAI/... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-1b", "model-index": [{"name": "robust_llm_pythia-1b_mz-131_IMDB", "results": []}]} | AlignmentResearch/robust_llm_pythia-1b_mz-131_IMDB | null | [
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"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-1b",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T07:18:17+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #gpt_neox #text-classification #generated_from_trainer #base_model-EleutherAI/pythia-1b #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# robust_llm_pythia-1b_mz-131_IMDB
This model is a fine-tuned version of EleutherAI/pythia-1b 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 ... | [
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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. -->
# final_V1-distilbert-text-classification-model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingfac... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "final_V1-distilbert-text-classification-model", "results": []}]} | AmirlyPhd/final_V1-distilbert-text-classification-model | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"generated_from_trainer",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T07:18:29+00:00 | [] | [] | TAGS
#transformers #safetensors #distilbert #text-classification #generated_from_trainer #base_model-distilbert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| final\_V1-distilbert-text-classification-model
==============================================
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: 0.1494
* Accuracy: 0.9672
* F1: 0.8312
* Precision: 0.8275
* Recall: 0.8... | [
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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. -->
# robust_llm_pythia-14m_mz-133_EnronSpam_n-its-10-seed-2
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://hug... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-133_EnronSpam_n-its-10-seed-2", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-133_EnronSpam_n-its-10-seed-2 | null | [
"transformers",
"tensorboard",
"safetensors",
"gpt_neox",
"text-classification",
"generated_from_trainer",
"base_model:EleutherAI/pythia-14m",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T07:18:50+00:00 | [] | [] | TAGS
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|
# robust_llm_pythia-14m_mz-133_EnronSpam_n-its-10-seed-2
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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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_32768_512_43M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_32768_512_43M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_32768_512_43M-L32_f | null | [
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| GUE\_EMP\_H3K36me3-seqsight\_32768\_512\_43M-L32\_f
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4593
* F1 ... | [
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text-generation | transformers |
# llama-3-8b-chat-patent-small
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the english translation of a small dataset of 16,000 Korean patents.
## Model description
This model is provided for testing purposes only.
### T... | {"language": ["en"], "license": "other", "tags": ["llama-factory", "full", "generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B-Instruct", "model-index": [{"name": "llama-3-8b-chat-patent-small", "results": []}]} | kimhyeongjun/llama-3-8b-chat-patent-small | null | [
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|
# llama-3-8b-chat-patent-small
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the english translation of a small dataset of 16,000 Korean patents.
## Model description
This model is provided for testing purposes only.
### Training hyperparameters
The following hyperparameters were us... | [
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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. -->
# robust_llm_pythia-14m_mz-133_EnronSpam_n-its-10-seed-3
This model is a fine-tuned version of [EleutherAI/pythia-14m](https://hug... | {"tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-14m", "model-index": [{"name": "robust_llm_pythia-14m_mz-133_EnronSpam_n-its-10-seed-3", "results": []}]} | AlignmentResearch/robust_llm_pythia-14m_mz-133_EnronSpam_n-its-10-seed-3 | null | [
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|
# robust_llm_pythia-14m_mz-133_EnronSpam_n-its-10-seed-3
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
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null | null |
<!-- 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. -->
# O0430HMA3
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "O0430HMA3", "results": []}]} | Litzy619/O0430HMA3 | null | [
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#safetensors #generated_from_trainer #base_model-allenai/OLMo-1B #license-apache-2.0 #region-us
| O0430HMA3
=========
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0125
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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null | 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. -->
# DonutProcessor_Detail
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/do... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "model-index": [{"name": "DonutProcessor_Detail", "results": []}]} | 2003achu/code | null | [
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|
# DonutProcessor_Detail
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training h... | [
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text-classification | 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": []} | steve1989/finbert-finetuned-SA-finance-headlines | 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_mouse_0-seqsight_32768_512_43M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_32768_512_43M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_32768_512_43M", "model-index": [{"name": "GUE_mouse_0-seqsight_32768_512_43M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_32768_512_43M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_32768_512_43M #region-us
| GUE\_mouse\_0-seqsight\_32768\_512\_43M-L1\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_32768\_512\_43M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5432
* F1 Score: 0.7236
* A... | [
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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": []} | kyounghyun/gemma-medical_qa-Finetune | null | [
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# Model Card for Model ID
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token-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. -->
# trained_danish
This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/dist... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "base_model": "distilbert/distilbert-base-multilingual-cased", "model-index": [{"name": "trained_danish", "results": []}]} | annamariagnat/trained_danish | null | [
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| trained\_danish
===============
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0667
* Precision: 0.7791
* Recall: 0.7329
* F1: 0.7553
* Accuracy: 0.9807
Model description
-----------------
... | [
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null | null |
# ridwanlekan/Baichuan2-13B-Base-Q4_K_M-GGUF
This model was converted to GGUF format from [`baichuan-inc/Baichuan2-13B-Base`](https://huggingface.co/baichuan-inc/Baichuan2-13B-Base) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [original model... | {"language": ["en", "zh"], "license": "other", "tags": ["llama-cpp", "gguf-my-repo"], "tasks": ["text-generation"]} | ridwanlekan/Baichuan2-13B-Base-Q4_K_M-GGUF | null | [
"gguf",
"llama-cpp",
"gguf-my-repo",
"en",
"zh",
"license:other",
"region:us"
] | null | 2024-04-30T07:30:00+00:00 | [] | [
"en",
"zh"
] | TAGS
#gguf #llama-cpp #gguf-my-repo #en #zh #license-other #region-us
|
# ridwanlekan/Baichuan2-13B-Base-Q4_K_M-GGUF
This model was converted to GGUF format from 'baichuan-inc/Baichuan2-13B-Base' 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 CLI.
CLI:
... | [
"# ridwanlekan/Baichuan2-13B-Base-Q4_K_M-GGUF\nThis model was converted to GGUF format from 'baichuan-inc/Baichuan2-13B-Base' 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 URL server or t... | [
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text-generation | transformers |
# mlx-community/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0
This model was converted to MLX format from [`llm-jp/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0`]() using mlx-lm version **0.12.0**.
Refer to the [original model card](https://hu... | {"language": ["en", "ja"], "license": "apache-2.0", "library_name": "transformers", "tags": ["mlx"], "datasets": ["databricks/databricks-dolly-15k", "llm-jp/databricks-dolly-15k-ja", "llm-jp/oasst1-21k-en", "llm-jp/oasst1-21k-ja", "llm-jp/oasst2-33k-en", "llm-jp/oasst2-33k-ja"], "programming_language": ["C", "C++", "C#... | mlx-community/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0 | null | [
"transformers",
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"dataset:llm-jp/oasst1-21k-en",
"dataset:llm-jp/oasst1-21k-ja",
"dataset:llm-jp/oasst2-33k-en",
"dataset:llm-... | null | 2024-04-30T07:30:40+00:00 | [] | [
"en",
"ja"
] | TAGS
#transformers #safetensors #llama #text-generation #mlx #conversational #en #ja #dataset-databricks/databricks-dolly-15k #dataset-llm-jp/databricks-dolly-15k-ja #dataset-llm-jp/oasst1-21k-en #dataset-llm-jp/oasst1-21k-ja #dataset-llm-jp/oasst2-33k-en #dataset-llm-jp/oasst2-33k-ja #license-apache-2.0 #autotrain_com... |
# mlx-community/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0
This model was converted to MLX format from ['llm-jp/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0']() using mlx-lm version 0.12.0.
Refer to the original model card for more details... | [
"# mlx-community/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0\nThis model was converted to MLX format from ['llm-jp/llm-jp-13b-instruct-full-ac_001_16x-dolly-ichikara_004_001_single-oasst-oasst2-v2.0']() using mlx-lm version 0.12.0.\nRefer to the original model card for more d... | [
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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. -->
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axo... | {"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "meta-llama/Meta-Llama-3-8B", "model-index": [{"name": "lora-out-french-alpaca", "results": []}]} | kloodia/alpaca | null | [
"peft",
"tensorboard",
"safetensors",
"llama",
"generated_from_trainer",
"base_model:meta-llama/Meta-Llama-3-8B",
"license:other",
"8-bit",
"region:us"
] | null | 2024-04-30T07:30:54+00:00 | [] | [] | TAGS
#peft #tensorboard #safetensors #llama #generated_from_trainer #base_model-meta-llama/Meta-Llama-3-8B #license-other #8-bit #region-us
| <img src="URL alt="Built with Axolotl" width="200" height="32"/>
See axolotl config
axolotl version: '0.4.0'
lora-out-french-alpaca
======================
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0002\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\n* seed: 42\n* gradient\\_accumulation\\_steps: 4\n* total\\_train\\_batch\\_size: 4\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1... | [
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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. -->
# llama2-7b-dpo-full-sft-wo-kqa_golden
This model is a fine-tuned version of [Minbyul/llama2-7b-wo-kqa_golden-sft](https://hugging... | {"tags": ["alignment-handbook", "trl", "dpo", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized"], "base_model": "Minbyul/llama2-7b-wo-kqa_golden-sft", "model-index": [{"name": "llama2-7b-dpo-full-sft-wo-kqa_golden", "results": []}]} | Minbyul/llama2-7b-dpo-full-sft-wo-kqa_golden | null | [
"transformers",
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"text-generation",
"alignment-handbook",
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"base_model:Minbyul/llama2-7b-wo-kqa_golden-sft",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inferen... | null | 2024-04-30T07:33:06+00:00 | [] | [] | TAGS
#transformers #safetensors #llama #text-generation #alignment-handbook #trl #dpo #generated_from_trainer #dataset-HuggingFaceH4/ultrafeedback_binarized #base_model-Minbyul/llama2-7b-wo-kqa_golden-sft #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| llama2-7b-dpo-full-sft-wo-kqa\_golden
=====================================
This model is a fine-tuned version of Minbyul/llama2-7b-wo-kqa\_golden-sft on the HuggingFaceH4/ultrafeedback\_binarized dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2778
* Rewards/chosen: -0.1016
* Rewards/re... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 5e-07\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 4\n* gradient\\_accumulation\\_steps: 2\n* total\\_train\\_batch\\_size: 64\n*... | [
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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. -->
# Llama-360M
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following re... | {"tags": ["generated_from_trainer"], "model-index": [{"name": "Llama-360M", "results": []}]} | ninagroot/Llama-360M | null | [
"transformers",
"tensorboard",
"safetensors",
"llama",
"text-generation",
"generated_from_trainer",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T07:34:53+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #llama #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| Llama-360M
==========
This model is a fine-tuned version of [](URL on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.8573
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
Trai... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 128\n* optimizer: Adam with betas=(0.9,0.999) and epsilo... | [
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"TAGS\n#transformers #tensorboard #safetensors #llama #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0003\n* train\\_batc... |
question-answering | 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. -->
# Raghuveer991/my_awesome_qa_model
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-bas... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "Raghuveer991/my_awesome_qa_model", "results": []}]} | Raghuveer991/my_awesome_qa_model | null | [
"transformers",
"tf",
"distilbert",
"question-answering",
"generated_from_keras_callback",
"base_model:distilbert-base-uncased",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T07:34:55+00:00 | [] | [] | TAGS
#transformers #tf #distilbert #question-answering #generated_from_keras_callback #base_model-distilbert-base-uncased #license-apache-2.0 #endpoints_compatible #region-us
| Raghuveer991/my\_awesome\_qa\_model
===================================
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: 3.3605
* Validation Loss: 2.0390
* Epoch: 0
Model description
-----------------
More... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'weight\\_decay': None, 'clipnorm': None, 'global\\_clipnorm': None, 'clipvalue': None, 'use\\_ema': False, 'ema\\_momentum': 0.99, 'ema\\_overwrite\\_frequency': None, 'jit\\_compile': Fal... | [
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text2text-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. -->
# cdc_influenza_bart-base-cnn
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "facebook/bart-base", "model-index": [{"name": "cdc_influenza_bart-base-cnn", "results": []}]} | PergaZuZ/cdc_influenza_bart-base-cnn | null | [
"transformers",
"tensorboard",
"safetensors",
"bart",
"text2text-generation",
"generated_from_trainer",
"base_model:facebook/bart-base",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T07:36:22+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| cdc\_influenza\_bart-base-cnn
=============================
This model is a fine-tuned version of facebook/bart-base on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5155
* Rouge1: 0.3829
* Rouge2: 0.3086
* Rougel: 0.3623
* Rougelsum: 0.3576
* Gen Len: 20.0
Model description... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 32\n* eval\\_batch\\_size: 32\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 4\n* mixed\\_prec... | [
"TAGS\n#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learn... | [
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"TAGS\n#transformers #tensorboard #safetensors #bart #text2text-generation #generated_from_trainer #base_model-facebook/bart-base #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_... |
text-generation | transformers |
# Mistral-child-1-3
Mistral-child-1-3 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
## 🧩 C... | {"license": "apache-2.0", "tags": ["merge", "mergekit", "lazymergekit", "HuggingFaceH4/zephyr-7b-beta", "mistralai/Mistral-7B-Instruct-v0.2"]} | PotatoB/Mistral-child-1-3 | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"merge",
"mergekit",
"lazymergekit",
"HuggingFaceH4/zephyr-7b-beta",
"mistralai/Mistral-7B-Instruct-v0.2",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2024-04-30T07:37:09+00:00 | [] | [] | TAGS
#transformers #safetensors #mistral #text-generation #merge #mergekit #lazymergekit #HuggingFaceH4/zephyr-7b-beta #mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Mistral-child-1-3
Mistral-child-1-3 is a merge of the following models using mergekit:
* HuggingFaceH4/zephyr-7b-beta
* mistralai/Mistral-7B-Instruct-v0.2
## Configuration
| [
"# Mistral-child-1-3\n\nMistral-child-1-3 is a merge of the following models using mergekit:\n* HuggingFaceH4/zephyr-7b-beta\n* mistralai/Mistral-7B-Instruct-v0.2",
"## Configuration"
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null | transformers |
# Uploaded model
- **Developed by:** russgeo
- **License:** apache-2.0
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit
This mistral 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... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "mistral", "trl"], "base_model": "unsloth/mistral-7b-bnb-4bit"} | russgeo/megaprompt | null | [
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"safetensors",
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"unsloth",
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"trl",
"en",
"base_model:unsloth/mistral-7b-bnb-4bit",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-04-30T07:37:42+00:00 | [] | [
"en"
] | TAGS
#transformers #safetensors #text-generation-inference #unsloth #mistral #trl #en #base_model-unsloth/mistral-7b-bnb-4bit #license-apache-2.0 #endpoints_compatible #region-us
|
# Uploaded model
- Developed by: russgeo
- License: apache-2.0
- Finetuned from model : unsloth/mistral-7b-bnb-4bit
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
| [
"# Uploaded model\n\n- Developed by: russgeo\n- License: apache-2.0\n- Finetuned from model : unsloth/mistral-7b-bnb-4bit\n\nThis mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.\n\n<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": []} | singhvishnu020/gemma-7b-v2-role-play_1 | null | [
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# Model Card for Model ID
## Model Details
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text-generation | transformers |
# base model :
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# Dataset :
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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": []} | andersonbcdefg/tiny-emb-2024-04-30_07-42-33 | 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 |
# 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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text-generation | transformers |
# VILA Model Card
## Model details
**Model type:**
VILA is a visual language model (VLM) pretrained with interleaved image-text data at scale, enabling multi-image VLM. VILA is deployable on the edge, including Jetson Orin and laptop by AWQ 4bit quantization through TinyChat framework. We find: (1) image-text pairs ... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["VILA", "VLM"], "pipeline_tag": "text-generation"} | Efficient-Large-Model/Llama-3-VILA1.5-8B | null | [
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# VILA Model Card
## Model details
Model type:
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text-generation | transformers |
# Model Card for Model ID
Fine-tuning for CS5242 project
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
- **Developed by:** [DreamOnRain]
- **Finetuned from model [optional]:** state-spaces/mamba-370m-hf
### Model Sources [optional]
<!-- Provide the basic links ... | {"library_name": "transformers", "tags": []} | DreamOnRain/mamba-370m-msmath | null | [
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# Model Card for Model ID
Fine-tuning for CS5242 project
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text-generation | null |
# HugoVoxx/Phi-3-mini-128k-instruct-Q8_0-GGUF
This model was converted to GGUF format from [`microsoft/Phi-3-mini-128k-instruct`](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
Refer to the [origina... | {"language": ["en"], "license": "mit", "tags": ["nlp", "code", "llama-cpp", "gguf-my-repo"], "license_link": "https://huggingface.co/microsoft/Phi-3-mini-128k-instruct/resolve/main/LICENSE", "pipeline_tag": "text-generation", "widget": [{"messages": [{"role": "user", "content": "Can you provide ways to eat combinations... | HugoVoxx/Phi-3-mini-128k-instruct-Q8_0-GGUF | null | [
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# HugoVoxx/Phi-3-mini-128k-instruct-Q8_0-GGUF
This model was converted to GGUF format from 'microsoft/Phi-3-mini-128k-instruct' 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 CLI.
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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": []} | baaaaaaaam/v2 | null | [
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null | transformers |
# Uploaded model
- **Developed by:** Hung1001
- **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/... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | Hung1001/Reading_Comprehension_Llama3 | null | [
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# Uploaded model
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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. -->
# fine_tuned_mBERT
This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1", "precision", "recall"], "base_model": "google-bert/bert-base-multilingual-cased", "model-index": [{"name": "fine_tuned_mBERT", "results": []}]} | morten-j/fine_tuned_mBERT | null | [
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| fine\_tuned\_mBERT
==================
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0431
* F1: 0.8182
* F5: 0.8792
* Precision: 0.6923
* Recall: 1.0
Model description
-----------------
More... | [
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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. -->
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** ... | {"license": "apache-2.0", "library_name": "transformers", "base_model": "mistralai/Mistral-7B-v0.1", "pipeline_tag": "text-generation"} | AIgot/Mrt-Fine-Tuned | null | [
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# Model Card for Model ID
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<!-- 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. -->
# O0430HMA2
This model is a fine-tuned version of [allenai/OLMo-1B](https://huggingface.co/allenai/OLMo-1B) on an unknown dataset.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "allenai/OLMo-1B", "model-index": [{"name": "O0430HMA2", "results": []}]} | Litzy619/O0430HMA2 | null | [
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| O0430HMA2
=========
This model is a fine-tuned version of allenai/OLMo-1B on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0294
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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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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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 |
# 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/itnjuww | null | [
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P: 98.36% R: 99.61% F1: 98.98%
step: 1999 | epoch: 2 | loss: 0.30: 67%|██████▋ | 1999/3000 [11:40<05:45, 2.90it/s]Step=1999
P: 98.91% R: 99.73% F1: 99.32%
step: 2999 | epoch: 4 | loss: 5.16: 100%|█████████▉| 2999/3000 [... | {} | alpcansoydas/ner_data_extraction | null | [
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text-generation | transformers | # Alsebay/Lorge-2x7B-UAMM AWQ
- Model creator: [Alsebay](https://huggingface.co/Alsebay)
- Original model: [Lorge-2x7B-UAMM](https://huggingface.co/Alsebay/Lorge-2x7B-UAMM)
## Model Summary
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
This model was mer... | {"license": "cc-by-nc-4.0", "library_name": "transformers", "tags": ["mergekit", "merge", "4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "base_model": [], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious", "model-index": [{"name": "Lorge-2x7B-UAMM", ... | solidrust/Lorge-2x7B-UAMM-AWQ | null | [
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| # Alsebay/Lorge-2x7B-UAMM AWQ
- Model creator: Alsebay
- Original model: Lorge-2x7B-UAMM
## Model Summary
This is a merge of pre-trained language models created using mergekit.
This model was merged using the passthrough merge method.
## How to use
### Install the necessary packages
### Example Python code
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