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fill-mask | 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": []} | CLASS-MATE/BERT-MLM-multilingual-cased | 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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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_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H4-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_65536_512_47M-L8_f | null | [
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| GUE\_EMP\_H4-seqsight\_65536\_512\_47M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2880
* F1 Score: 0.8934
* Accu... | [
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text-generation | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 0.0001_withdpo_4iters_bs256_5102lr_misit_iter_2
This model is a fine-tuned version of [ShenaoZ/0.0001_withdpo_4iters_bs256_5102l... | {"license": "mit", "tags": ["alignment-handbook", "generated_from_trainer", "trl", "dpo", "generated_from_trainer"], "datasets": ["updated", "original"], "base_model": "ShenaoZ/0.0001_withdpo_4iters_bs256_5102lr_misit_iter_1", "model-index": [{"name": "0.0001_withdpo_4iters_bs256_5102lr_misit_iter_2", "results": []}]} | ShenaoZ/0.0001_withdpo_4iters_bs256_5102lr_misit_iter_2 | null | [
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... | null | 2024-05-03T16:03:29+00:00 | [] | [] | TAGS
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# 0.0001_withdpo_4iters_bs256_5102lr_misit_iter_2
This model is a fine-tuned version of ShenaoZ/0.0001_withdpo_4iters_bs256_5102lr_misit_iter_1 on the updated and the original datasets.
## Model description
More information needed
## Intended uses & limitations
More information needed
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null | transformers |
# Uploaded model
- **Developed by:** animaRegem
- **License:** apache-2.0
- **Finetuned from model :** unsloth/gemma-2b-it-bnb-4bit
This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "gemma", "trl"], "base_model": "unsloth/gemma-2b-it-bnb-4bit"} | animaRegem/gemma-2b-it-lora-0_1-malayalam | null | [
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# Uploaded model
- Developed by: animaRegem
- License: apache-2.0
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<img src="URL width="200"/>
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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_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H4-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4-seqsight_65536_512_47M-L32_f | null | [
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| GUE\_EMP\_H4-seqsight\_65536\_512\_47M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2723
* F1 Score: 0.8953
* Ac... | [
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text-generation | transformers |
# Llama-3-8B-Irene-v0.1
<img src="https://huggingface.co/Virt-io/Llama-3-8B-Irene-v0.1/resolve/main/Irene.png">
[SillyTavern Presest](https://huggingface.co/Virt-io/SillyTavern-Presets)
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
##... | {"license": "other", "library_name": "transformers", "tags": ["mergekit", "merge", "facebook", "meta", "pytorch", "llama", "llama-3"], "base_model": ["ResplendentAI/SOVL_Llama3_8B", "ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B", "NeverSleep/Llama-3-Lumimaid-8B-v0.1", "cgato/L3-TheSpice-8b-v0.8.3", "Endevor/InfinityRP-v2-... | Virt-io/Llama-3-8B-Irene-v0.1 | null | [
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# Llama-3-8B-Irene-v0.1
<img src="URL
SillyTavern Presest
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using NeverSleep/Llama-3-Lumimaid-8B-v0.1 as a base.
### Models Merged
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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"]} | animaRegem/gemma-2b-it-lora-0_1-malayalam-tokenizer | 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-generation | transformers | # Gille/StrangeMerges_16-7B-slerp AWQ
- Model creator: [Gille](https://huggingface.co/Gille)
- Original model: [StrangeMerges_16-7B-slerp](https://huggingface.co/Gille/StrangeMerges_16-7B-slerp)
## How to use
### Install the necessary packages
```bash
pip install --upgrade autoawq autoawq-kernels
```
### Example... | {"library_name": "transformers", "tags": ["4-bit", "AWQ", "text-generation", "autotrain_compatible", "endpoints_compatible"], "pipeline_tag": "text-generation", "inference": false, "quantized_by": "Suparious"} | solidrust/StrangeMerges_16-7B-slerp-AWQ | null | [
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| # Gille/StrangeMerges_16-7B-slerp AWQ
- Model creator: Gille
- Original model: StrangeMerges_16-7B-slerp
## How to use
### Install the necessary packages
### Example Python code
### About AWQ
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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. -->
# lora_fine_tuned_copa
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/be... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "lora_fine_tuned_copa", "results": []}]} | lenatr99/lora_fine_tuned_copa | null | [
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| lora\_fine\_tuned\_copa
=======================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6918
* Accuracy: 0.46
* F1: 0.4570
Model description
-----------------
More information needed
Intended ... | [
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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. -->
# my_awesome_billsum_model
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "t5-small", "model-index": [{"name": "my_awesome_billsum_model", "results": []}]} | ngthanhlong089/my_awesome_billsum_model | null | [
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| my\_awesome\_billsum\_model
===========================
This model is a fine-tuned version of t5-small on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.3247
* Rouge1: 0.1978
* Rouge2: 0.099
* Rougel: 0.1684
* Rougelsum: 0.1682
* Gen Len: 19.0
Model description
------------... | [
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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": []} | golf2248/art9e97 | null | [
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text-generation | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | cilantro9246/mkon0fy | null | [
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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_mrqa_v2
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) ... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/roberta-base", "model-index": [{"name": "roberta_mrqa_v2", "results": []}]} | enriquesaou/roberta_mrqa_v2 | null | [
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| roberta\_mrqa\_v2
=================
This model is a fine-tuned version of FacebookAI/roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3580
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
... | [
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null | transformers |
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generate... | {"library_name": "transformers", "tags": []} | jeongmi/solar_text | 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_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_65536_512_47M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3-seqsight\_65536\_512\_47M-L1\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
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* Loss: 0.3391
* F1 Score: 0.8676
* Accu... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https://... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_65536_512_47M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3-seqsight\_65536\_512\_47M-L8\_f
============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3253
* F1 Score: 0.8696
* Accu... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3-seqsight_65536_512_47M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3-seqsight\_65536\_512\_47M-L32\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3472
* F1 Score: 0.8683
* 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_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_65536_512_47M-L1_f | null | [
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"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T16:13:19+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H4ac-seqsight\_65536\_512\_47M-L1\_f
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5702
* F1 Score: 0.7087
... | [
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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 Base Noise Ko - Dearlie
This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/... | {"language": ["ko"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["AIHub/noise"], "base_model": "openai/whisper-base", "model-index": [{"name": "Whisper Base Noise Ko - Dearlie", "results": []}]} | Dearlie/whisper-noise3 | null | [
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"endpoints_compatible",
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] | null | 2024-05-03T16:13:31+00:00 | [] | [
"ko"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #ko #dataset-AIHub/noise #base_model-openai/whisper-base #license-apache-2.0 #endpoints_compatible #region-us
| Whisper Base Noise Ko - Dearlie
===============================
This model is a fine-tuned version of openai/whisper-base on the Noise Data dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0157
* Cer: 41.4126
Model description
-----------------
More information needed
Intended uses ... | [
"### 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: 8\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-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. -->
# BioGPT_DocBot_SonatafyAI_V1
This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "microsoft/biogpt", "model-index": [{"name": "BioGPT_DocBot_SonatafyAI_V1", "results": []}]} | Sonatafyai/BioGPT_DocBot_SonatafyAI_V1 | null | [
"transformers",
"tensorboard",
"safetensors",
"biogpt",
"text-generation",
"generated_from_trainer",
"base_model:microsoft/biogpt",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-03T16:13:46+00:00 | [] | [] | TAGS
#transformers #tensorboard #safetensors #biogpt #text-generation #generated_from_trainer #base_model-microsoft/biogpt #license-mit #autotrain_compatible #endpoints_compatible #region-us
| BioGPT\_DocBot\_SonatafyAI\_V1
==============================
This model is a fine-tuned version of microsoft/biogpt on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.8762
Model description
-----------------
More information needed
Intended uses & limitations
----------... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 16\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 5",
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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_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_65536_512_47M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T16:14:32+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H4ac-seqsight\_65536\_512\_47M-L8\_f
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5638
* F1 Score: 0.7186
... | [
"### 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_H4ac-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H4ac-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H4ac-seqsight_65536_512_47M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T16:14:32+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H4ac-seqsight\_65536\_512\_47M-L32\_f
===============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H4ac dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5976
* F1 Score: 0.723... | [
"### 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. -->
# lora_fine_tuned_boolq
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/b... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "lora_fine_tuned_boolq", "results": []}]} | lenatr99/lora_fine_tuned_boolq | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:google-bert/bert-base-uncased",
"license:apache-2.0",
"region:us"
] | null | 2024-05-03T16:14:40+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-google-bert/bert-base-uncased #license-apache-2.0 #region-us
| lora\_fine\_tuned\_boolq
========================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5547
* Accuracy: 0.7778
* F1: 0.6806
Model description
-----------------
More information needed
Inten... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 400",
"### Tr... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-google-bert/bert-base-uncased #license-apache-2.0 #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 8\n* eval\\_batch\\_size: 8\n* seed: 42\n* op... |
text-to-image | diffusers |
# Juggernaut X Hyper + RunDiffusion Official (Community Version)
This m... | {"language": ["en"], "license": "creativeml-openrail-m", "library_name": "diffusers", "tags": ["art", "people", "diffusion", "Cinematic", "Photography", "Landscape", "Interior", "Food", "Car", "Wildlife", "Architecture"], "thumbnail": "https://storage.googleapis.com/run-diffusion-public-assets/juggernaut-x/juggernaut-x... | RunDiffusion/Juggernaut-X-Hyper | null | [
"diffusers",
"art",
"people",
"diffusion",
"Cinematic",
"Photography",
"Landscape",
"Interior",
"Food",
"Car",
"Wildlife",
"Architecture",
"text-to-image",
"en",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"license:creativeml-openrail-m",
"endpoints_compatible",
"diffuse... | null | 2024-05-03T16:14:58+00:00 | [] | [
"en"
] | TAGS
#diffusers #art #people #diffusion #Cinematic #Photography #Landscape #Interior #Food #Car #Wildlife #Architecture #text-to-image #en #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us
|
# Juggernaut X Hyper + RunDiffusion Official (Community Version)
!juggernaut X Hyper previews
!RunDiffusion Logo
This model is not permitted to be used behind API services. Please contact juggernaut@URL for business inquires, commercial licensing, custom models, and consultation.
Juggernaut X (SAFE) is available excl... | [
"# Juggernaut X Hyper + RunDiffusion Official (Community Version)\n!juggernaut X Hyper previews\n!RunDiffusion Logo\nThis model is not permitted to be used behind API services. Please contact juggernaut@URL for business inquires, commercial licensing, custom models, and consultation.\n\nJuggernaut X (SAFE) is avail... | [
"TAGS\n#diffusers #art #people #diffusion #Cinematic #Photography #Landscape #Interior #Food #Car #Wildlife #Architecture #text-to-image #en #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n",
"# Juggernaut ... | [
84,
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"TAGS\n#diffusers #art #people #diffusion #Cinematic #Photography #Landscape #Interior #Food #Car #Wildlife #Architecture #text-to-image #en #base_model-stabilityai/stable-diffusion-xl-base-1.0 #license-creativeml-openrail-m #endpoints_compatible #diffusers-StableDiffusionXLPipeline #region-us \n# Juggernaut X Hype... |
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 Tiny chinese - VingeNie
This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whispe... | {"language": ["zh"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_1"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "Whisper Tiny chinese - VingeNie", "results": []}]} | VingeNie/whisper-tiny-zh_CN_lr4_3600 | null | [
"transformers",
"tensorboard",
"safetensors",
"whisper",
"automatic-speech-recognition",
"generated_from_trainer",
"zh",
"dataset:mozilla-foundation/common_voice_16_1",
"base_model:openai/whisper-tiny",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2024-05-03T16:15:03+00:00 | [] | [
"zh"
] | TAGS
#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #zh #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-tiny #license-apache-2.0 #endpoints_compatible #region-us
| Whisper Tiny chinese - VingeNie
===============================
This model is a fine-tuned version of openai/whisper-tiny on the Common Voice 16.1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.8984
* Cer Ortho: 82.5463
* Cer: 30.3139
Model description
-----------------
More informa... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-08\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* lr\\_scheduler\\_warmup\\_steps... | [
"TAGS\n#transformers #tensorboard #safetensors #whisper #automatic-speech-recognition #generated_from_trainer #zh #dataset-mozilla-foundation/common_voice_16_1 #base_model-openai/whisper-tiny #license-apache-2.0 #endpoints_compatible #region-us \n",
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null | null | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
llama-2-ko-7b - GGUF
- Model creator: https://huggingface.co/beomi/
- Original model: https://huggingface.co/beomi/llama-2-k... | {} | RichardErkhov/beomi_-_llama-2-ko-7b-gguf | null | [
"gguf",
"region:us"
] | null | 2024-05-03T16:15:23+00:00 | [] | [] | TAGS
#gguf #region-us
| Quantization made by Richard Erkhov.
Github
Discord
Request more models
llama-2-ko-7b - GGUF
* Model creator: URL
* Original model: URL
Name: llama-2-ko-7b.Q2\_K.gguf, Quant method: Q2\_K, Size: 2.42GB
Name: llama-2-ko-7b.IQ3\_XS.gguf, Quant method: IQ3\_XS, Size: 2.67GB
Name: llama-2-ko-7b.IQ3\_S.gguf, Qua... | [
"### NSMC (Acc) - 50000 full test\n\n\nTBD",
"### COPA (F1)\n\n\n",
"### HellaSwag (F1)\n\n\n",
"### BoolQ (F1)\n\n\n",
"### SentiNeg (F1)\n\n\n\n\nNote for oobabooga/text-generation-webui\n----------------------------------------\n\n\nRemove 'ValueError' at 'load\\_tokenizer... | [
"TAGS\n#gguf #region-us \n",
"### NSMC (Acc) - 50000 full test\n\n\nTBD",
"### COPA (F1)\n\n\n",
"### HellaSwag (F1)\n\n\n",
"### BoolQ (F1)\n\n\n",
"### SentiNeg (F1)\n\n\n\n\nNote for oobabooga/text-generation-webui\n----------------------------------------\n\n\nRemove 'V... | [
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audio-to-audio | null | Jack from Genndy Tartakovsky's "Samurai Jack" Cartoon Network/Adult Swim show!
For RVC/RVCv2 AI Covers
Made with Weights.gg
Feel free to use! Don't forget to credit if used
Note: Jack's voice is naturally deep so don't forget to adjust your song's pitch so he can fully sound like himself
Model by Radaverse | @samu... | {"language": ["en"], "license": "openrail", "tags": ["RVC", "RVCv2", "AI", "Cover", "Voice", "Cartoon", "Samurai Jack"], "pipeline_tag": "audio-to-audio"} | Radaverse/SamuraiJack-RVCv2 | null | [
"RVC",
"RVCv2",
"AI",
"Cover",
"Voice",
"Cartoon",
"Samurai Jack",
"audio-to-audio",
"en",
"license:openrail",
"region:us"
] | null | 2024-05-03T16:15:49+00:00 | [] | [
"en"
] | TAGS
#RVC #RVCv2 #AI #Cover #Voice #Cartoon #Samurai Jack #audio-to-audio #en #license-openrail #region-us
| Jack from Genndy Tartakovsky's "Samurai Jack" Cartoon Network/Adult Swim show!
For RVC/RVCv2 AI Covers
Made with URL
Feel free to use! Don't forget to credit if used
Note: Jack's voice is naturally deep so don't forget to adjust your song's pitch so he can fully sound like himself
Model by Radaverse | @samurairad | [] | [
"TAGS\n#RVC #RVCv2 #AI #Cover #Voice #Cartoon #Samurai Jack #audio-to-audio #en #license-openrail #region-us \n"
] | [
37
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"TAGS\n#RVC #RVCv2 #AI #Cover #Voice #Cartoon #Samurai Jack #audio-to-audio #en #license-openrail #region-us \n"
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K79me3-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_65536_512_47M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T16:16:34+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_65536\_512\_47M-L1\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4367
* 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-generation | transformers |
<img src="./llama-3-merges.webp" alt="Llama-3 DPO Logo" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
# MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4
This model is a fine-tune (DPO) of `meta-llama/Meta-Llama-3-70B-Instruct` model.
# Quantized GGUF
All GGUF models are available here: [... | {"language": ["en"], "license": "llama3", "library_name": "transformers", "tags": ["axolotl", "finetune", "dpo", "facebook", "meta", "pytorch", "llama", "llama-3", "chatml"], "datasets": ["argilla/ultrafeedback-binarized-preferences"], "base_model": "meta-llama/Meta-Llama-3-70B-Instruct", "pipeline_tag": "text-generati... | blockblockblock/Llama-3-70B-Instruct-DPO-v0.4-bpw2.5-exl2 | null | [
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MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4
===========================================
This model is a fine-tune (DPO) of 'meta-llama/Meta-Llama-3-70B-Instruct' model.
Quantized GGUF
==============
All GGUF models are available here: MaziyarPanahi/Llama-3-70B-Instruct-DPO-v0.4-GGUF
P... | [] | [
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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": []} | ar08/ar08 | 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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- Funded by [optional]:
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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_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_65536_512_47M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_65536\_512\_47M-L8\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4309
* F1 Sc... | [
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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_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K79me3-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K79me3-seqsight_65536_512_47M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K79me3-seqsight\_65536\_512\_47M-L32\_f
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K79me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4374
* F1 ... | [
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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": []} | InayaKripa/gemma-2b-toxic-ConvoV1 | 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.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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- License... | [
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text-classification | transformers |
This model is a finetuned version of ```distilbert/distilbert-base-multilingual-cased``` model in the **Bengali** and **Hindi** languages.
The dataset used is a Kaggle Dataset - [Modified-hate-speech-bengali-hindi](https://www.kaggle.com/datasets/abirmondal/modified-hate-speech-bengali-hindi)
This model can classify... | {"language": ["bn", "hi"], "license": "apache-2.0"} | kingshukroy/distilbert-base-multilingual-cased-hate-speech-ben-hin | null | [
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|
This model is a finetuned version of model in the Bengali and Hindi languages.
The dataset used is a Kaggle Dataset - Modified-hate-speech-bengali-hindi
This model can classify Bengali and Hindi texts into the following 5 classes:
- defamation
- hate
- non-hate
- violence
- vulgar | [] | [
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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. -->
# mistral_finetued_on_scigen_server
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface... | {"license": "apache-2.0", "library_name": "peft", "tags": ["trl", "sft", "generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "mistral_finetued_on_scigen_server", "results": []}]} | moetezsa/mistral_finetued_on_scigen_server | null | [
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|
# mistral_finetued_on_scigen_server
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
... | [
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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. -->
# Prototipo_5_EMI
This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "dccuchile/bert-base-spanish-wwm-uncased", "model-index": [{"name": "Prototipo_5_EMI", "results": []}]} | Armandodelca/Prototipo_5_EMI | null | [
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| Prototipo\_5\_EMI
=================
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4215
* Accuracy: 0.538
Model description
-----------------
More information needed
Intended uses & limitat... | [
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text-generation | transformers | Barcenas 3.8b
Based on the Phi-3-Mini-4K-Boost from DeepMount00 and trained with the pinzhenchen/alpaca-cleaned-es dataset, to improve Spanish conversations.
The goal of this model is to have a small LLM that can express itself correctly and fluently in the Spanish language.
Made with ❤️ in Guadalupe, Nuevo Leon, Me... | {"language": ["es", "en"], "license": "mit", "tags": ["phi"]} | Danielbrdz/Barcenas-3.8b | null | [
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| Barcenas 3.8b
Based on the Phi-3-Mini-4K-Boost from DeepMount00 and trained with the pinzhenchen/alpaca-cleaned-es dataset, to improve Spanish conversations.
The goal of this model is to have a small LLM that can express itself correctly and fluently in the Spanish language.
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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": []} | OwOpeepeepoopoo/herewegoagain15c | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-generation | transformers |
# 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": []} | golf2248/l9w0l2v | null | [
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"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
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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_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_65536_512_47M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_65536\_512\_47M-L1\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5417
* F1 Score... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K4me1-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_65536_512_47M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_65536\_512\_47M-L32\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5342
* F1 Sco... | [
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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_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](htt... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K4me1-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K4me1-seqsight_65536_512_47M-L8_f | null | [
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"generated_from_trainer",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K4me1-seqsight\_65536\_512\_47M-L8\_f
=================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K4me1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5308
* F1 Score... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K36me3-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_65536_512_47M-L1_f | null | [
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] | null | 2024-05-03T16:29:45+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K36me3-seqsight\_65536\_512\_47M-L1\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5000
* F1 Sc... | [
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text-generation | transformers | # dareties
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using ./models2/Meta-Llama-3-8B-instr... | {"library_name": "transformers", "tags": ["mergekit", "merge"], "base_model": ["NousResearch/Hermes-2-Pro-Llama-3-8B"]} | johannhartmann/llama8_dt_b | null | [
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| # dareties
This is a merge of pre-trained language models created using mergekit.
## Merge Details
### Merge Method
This model was merged using the DARE TIES merge method using ./models2/Meta-Llama-3-8B-instruct as a base.
### Models Merged
The following models were included in the merge:
* ./models2/Llama-3-Kafka... | [
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null | transformers |
# Uploaded model
- **Developed by:** johannoriel
- **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/unslo... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | johannoriel/medllama_model | null | [
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|
# Uploaded model
- Developed by: johannoriel
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/>
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null | null | This model is finetuned with an ML Q&A dataset - hanyueshf/ml-arxiv-papers-qa. It outperforms both its base Llama-2-7B-Chat and Llama-3-8B-Instruct, as shown in below figure.
Note: improvement = (finetuned_llama2_scores - base_llama2_scores) / base_llama2_scores.
The finetuning code is available on Github at https://... | {} | hanyueshf/llama-2-7b-chat-ml-qa | null | [
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#region-us
| This model is finetuned with an ML Q&A dataset - hanyueshf/ml-arxiv-papers-qa. It outperforms both its base Llama-2-7B-Chat and Llama-3-8B-Instruct, as shown in below figure.
Note: improvement = (finetuned_llama2_scores - base_llama2_scores) / base_llama2_scores.
The finetuning code is available on Github at URL
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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_boolq_bert
This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/b... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "google-bert/bert-base-uncased", "model-index": [{"name": "fine_tuned_boolq_bert", "results": []}]} | lenatr99/fine_tuned_boolq_bert | null | [
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#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-google-bert/bert-base-uncased #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| fine\_tuned\_boolq\_bert
========================
This model is a fine-tuned version of google-bert/bert-base-uncased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.5736
* Accuracy: 0.7222
* F1: 0.7325
Model description
-----------------
More information needed
Inten... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **FrozenLake-v1**
This is a trained model of a **Q-Learning** agent playing **FrozenLake-v1** .
## Usage
```python
model = load_from_hub(repo_id="TeoGal/q-FrozenLake-v1-4x4-noSlippery", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attr... | {"tags": ["FrozenLake-v1-4x4-no_slippery", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-FrozenLake-v1-4x4-noSlippery", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "FrozenLake-v1-4x4-no_slippery", "type": ... | TeoGal/q-FrozenLake-v1-4x4-noSlippery | null | [
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#FrozenLake-v1-4x4-no_slippery #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 FrozenLake-v1
This is a trained model of a Q-Learning agent playing FrozenLake-v1 .
## Usage
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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": []} | golf2248/mdxmtky | null | [
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"region:us"
] | null | 2024-05-03T16:32:49+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
- Developed by:
- Funded by [optional]:
- Shared by [optional]:
- Model type:
- Language(s) (NLP):
- License... | [
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null | transformers |
# LLOROv2 - GGUF VERSION
Este repositório contém o modelo Llorov2 de 7B de parâmetros em formato GGUF, na versão 16 bits e também nas versão quantizada de 8 bits.
Lloro, desenvolvido pelos Laboratórios de Pesquisa Semantix, é um Modelo de Linguagem que foi treinado para realizar efetivamente Análise de Dados em Port... | {"language": ["pt"], "license": "llama2", "library_name": "transformers", "tags": ["LLM", "Portuguese", "Lloro", "Llama 2", "Q&A"], "datasets": ["semantixai/Test-Dataset-Lloro"], "base_model": "codellama/CodeLlama-7b-Instruct-hf"} | anaxsouza/llorov2-gguf | null | [
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"pt"
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|
# LLOROv2 - GGUF VERSION
Este repositório contém o modelo Llorov2 de 7B de parâmetros em formato GGUF, na versão 16 bits e também nas versão quantizada de 8 bits.
Lloro, desenvolvido pelos Laboratórios de Pesquisa Semantix, é um Modelo de Linguagem que foi treinado para realizar efetivamente Análise de Dados em Port... | [
"# LLOROv2 - GGUF VERSION\n\nEste repositório contém o modelo Llorov2 de 7B de parâmetros em formato GGUF, na versão 16 bits e também nas versão quantizada de 8 bits.\n\nLloro, desenvolvido pelos Laboratórios de Pesquisa Semantix, é um Modelo de Linguagem que foi treinado para realizar efetivamente Análise de Dados... | [
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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. -->
# sft-fsi
This model is a fine-tuned version of [dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978](https://huggingface.co/dyn... | {"tags": ["alignment-handbook", "trl", "sft", "generated_from_trainer", "trl", "sft", "generated_from_trainer"], "datasets": ["dynamofl/train-default-FSI-PersonalFinancialAdvice-input-formatted-chatml"], "base_model": "dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978", "model-index": [{"name": "sft-fsi", "results"... | jamesoneill12/sft-fsi | null | [
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"base_model:dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-... | null | 2024-05-03T16:34:49+00:00 | [] | [] | TAGS
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=======
This model is a fine-tuned version of dynamofl/dynamo-1.6B-v0.4-mosaic-dynamoDPO-iter0-2978 on the dynamofl/train-default-FSI-PersonalFinancialAdvice-input-formatted-chatml dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7006
Model description
-----------------
More i... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\n* seed: 42\n* distributed\\_type: multi-GPU\n* num\\_devices: 8\n* gradient\\_accumulation\\_steps: 8\n* total\\_train\\_batch\\_size: 256\n... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_EMP_H3K36me3-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](ht... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_65536_512_47M-L8_f | null | [
"peft",
"safetensors",
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K36me3-seqsight\_65536\_512\_47M-L8\_f
==================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4908
* F1 Sc... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_0-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_0-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_65536_512_47M-L1_f | null | [
"peft",
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"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T16:35:35+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_mouse\_0-seqsight\_65536\_512\_47M-L1\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5918
* F1 Score: 0.6924
* A... | [
"### 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_H3K36me3-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_EMP_H3K36me3-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_EMP_H3K36me3-seqsight_65536_512_47M-L32_f | null | [
"peft",
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"generated_from_trainer",
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] | null | 2024-05-03T16:35:35+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_EMP\_H3K36me3-seqsight\_65536\_512\_47M-L32\_f
===================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_EMP\_H3K36me3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5059
* 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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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_prom_prom_300_notata-seqsight_4096_512_15M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_1... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_4096_512_15M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_4096_512_15M-L8_f | null | [
"peft",
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"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_300\_notata-seqsight\_4096\_512\_15M-L8\_f
===========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
It achieves the following results on the evaluation se... | [
"### 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_prom_prom_300_notata-seqsight_4096_512_15M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_prom_prom_300_notata-seqsight_4096_512_15M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_prom_prom_300_notata-seqsight_4096_512_15M-L32_f | null | [
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"safetensors",
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"base_model:mahdibaghbanzadeh/seqsight_4096_512_15M",
"region:us"
] | null | 2024-05-03T16:36:08+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_prom\_prom\_300\_notata-seqsight\_4096\_512\_15M-L32\_f
============================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_prom\_prom\_300\_notata dataset.
It achieves the following results on the evaluation ... | [
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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": []} | jeongmi/SOLAR_TG | 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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- Shared by [optional]:
- Model type:
- Language(s) (NLP):
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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. -->
# results
This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown da... | {"license": "mit", "tags": ["generated_from_trainer"], "base_model": "prajjwal1/bert-tiny", "model-index": [{"name": "results", "results": []}]} | soheill/results | null | [
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#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-prajjwal1/bert-tiny #license-mit #autotrain_compatible #endpoints_compatible #region-us
| results
=======
This model is a fine-tuned version of prajjwal1/bert-tiny on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3439
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed... | [
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reinforcement-learning | null |
# **Q-Learning** Agent playing1 **Taxi-v3**
This is a trained model of a **Q-Learning** agent playing **Taxi-v3** .
## Usage
```python
model = load_from_hub(repo_id="TeoGal/q-Taxi-v3", filename="q-learning.pkl")
# Don't forget to check if you need to add additional attributes (is_slippery=False etc)
... | {"tags": ["Taxi-v3", "q-learning", "reinforcement-learning", "custom-implementation"], "model-index": [{"name": "q-Taxi-v3", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "Taxi-v3", "type": "Taxi-v3"}, "metrics": [{"type": "mean_reward", "value": "7.50 +/... | TeoGal/q-Taxi-v3 | null | [
"Taxi-v3",
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"reinforcement-learning",
"custom-implementation",
"model-index",
"region:us"
] | null | 2024-05-03T16:36:48+00:00 | [] | [] | TAGS
#Taxi-v3 #q-learning #reinforcement-learning #custom-implementation #model-index #region-us
|
# Q-Learning Agent playing1 Taxi-v3
This is a trained model of a Q-Learning agent playing Taxi-v3 .
## Usage
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] |
automatic-speech-recognition | 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": []} | ezyyeah/murix-large-v3-1k-MERGED | null | [
"transformers",
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"automatic-speech-recognition",
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"endpoints_compatible",
"region:us"
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"1910.09700"
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#transformers #safetensors #whisper #automatic-speech-recognition #arxiv-1910.09700 #endpoints_compatible #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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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_boolq_bert_croslo
This model is a fine-tuned version of [EMBEDDIA/crosloengual-bert](https://huggingface.co/EMBEDDIA/... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "EMBEDDIA/crosloengual-bert", "model-index": [{"name": "fine_tuned_boolq_bert_croslo", "results": []}]} | lenatr99/fine_tuned_boolq_bert_croslo | null | [
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"bert",
"text-classification",
"generated_from_trainer",
"base_model:EMBEDDIA/crosloengual-bert",
"license:cc-by-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2024-05-03T16:40:39+00:00 | [] | [] | TAGS
#transformers #safetensors #bert #text-classification #generated_from_trainer #base_model-EMBEDDIA/crosloengual-bert #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us
| fine\_tuned\_boolq\_bert\_croslo
================================
This model is a fine-tuned version of EMBEDDIA/crosloengual-bert on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3270
* Accuracy: 0.8333
* F1: 0.8243
Model description
-----------------
More information n... | [
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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": []} | cilantro9246/lji9v56 | null | [
"transformers",
"safetensors",
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"text-generation",
"conversational",
"arxiv:1910.09700",
"autotrain_compatible",
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] | null | 2024-05-03T16:41:20+00:00 | [
"1910.09700"
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#transformers #safetensors #llama #text-generation #conversational #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- 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_tf_3-seqsight_4096_512_15M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_15M](https://hug... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_4096_512_15M", "model-index": [{"name": "GUE_tf_3-seqsight_4096_512_15M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_3-seqsight_4096_512_15M-L32_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_4096_512_15M #region-us
| GUE\_tf\_3-seqsight\_4096\_512\_15M-L32\_f
==========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_4096\_512\_15M on the mahdibaghbanzadeh/GUE\_tf\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5549
* F1 Score: 0.7132
* Accuracy: 0... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.2-finetune-SWE_90_10_EN
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https:... | {"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer"], "base_model": "mistralai/Mistral-7B-Instruct-v0.2", "model-index": [{"name": "Mistral-7B-Instruct-v0.2-finetune-SWE_90_10_EN", "results": []}]} | JuanjoLopez19/Mistral-7B-Instruct-v0.2-finetune-SWE_90_10_EN | null | [
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#peft #safetensors #generated_from_trainer #base_model-mistralai/Mistral-7B-Instruct-v0.2 #license-apache-2.0 #region-us
| Mistral-7B-Instruct-v0.2-finetune-SWE\_90\_10\_EN
=================================================
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 2.0346
Model description
-----------------
More inf... | [
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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_cb_croslo
This model is a fine-tuned version of [EMBEDDIA/crosloengual-bert](https://huggingface.co/EMBEDDIA/crosloen... | {"license": "cc-by-4.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "EMBEDDIA/crosloengual-bert", "model-index": [{"name": "fine_tuned_cb_croslo", "results": []}]} | lenatr99/fine_tuned_cb_croslo | null | [
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| fine\_tuned\_cb\_croslo
=======================
This model is a fine-tuned version of EMBEDDIA/crosloengual-bert on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3249
* Accuracy: 0.6818
* F1: 0.6390
Model description
-----------------
More information needed
Intended u... | [
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token-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": []} | chanwoopark/roberta-link | null | [
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"arxiv:1910.09700",
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"region:us"
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"1910.09700"
] | [] | TAGS
#transformers #safetensors #roberta #token-classification #arxiv-1910.09700 #autotrain_compatible #endpoints_compatible #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.
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translation | 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. -->
# opus-mt-egyAr-eng_fineTuned
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-N... | {"language": ["ar", "en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "Helsinki-NLP/opus-mt-ar-en", "pipeline_tag": "translation", "model-index": [{"name": "opus-mt-egyAr-eng_fineTuned", "results": []}]} | Amr-khaled/opus-mt-egyAr-eng_fineTuned | null | [
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| opus-mt-egyAr-eng\_fineTuned
============================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1953
Model description
-----------------
More information needed
Intended uses & limitations
------... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_0-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_0-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_65536_512_47M-L8_f | null | [
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| GUE\_mouse\_0-seqsight\_65536\_512\_47M-L8\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6597
* F1 Score: 0.7055
* A... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_0-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_0-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_0-seqsight_65536_512_47M-L32_f | null | [
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| GUE\_mouse\_0-seqsight\_65536\_512\_47M-L32\_f
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.9070
* F1 Score: 0.7069
*... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_1-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_1-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_65536_512_47M-L1_f | null | [
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| GUE\_mouse\_1-seqsight\_65536\_512\_47M-L1\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2654
* F1 Score: 0.8818
* A... | [
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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": []} | Ayu14/mistral_7b_guanaco | null | [
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This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_1-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_1-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_65536_512_47M-L8_f | null | [
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| GUE\_mouse\_1-seqsight\_65536\_512\_47M-L8\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2451
* F1 Score: 0.8914
* A... | [
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null | transformers |
# Uploaded model
- **Developed by:** xsa-dev
- **License:** apache-2.0
- **Finetuned from model :** unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/m... | {"language": ["en"], "license": "apache-2.0", "tags": ["text-generation-inference", "transformers", "unsloth", "llama", "trl"], "base_model": "unsloth/llama-3-8b-bnb-4bit"} | xsa-dev/hugs_llama3_technique_ft_lora | null | [
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# Uploaded model
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- License: apache-2.0
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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": []} | arthrod/jaera | null | [
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# Model Card for Model ID
## Model Details
### Model Description
This is the model card of a transformers model that has been pushed on the Hub. This model card has been automatically generated.
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text-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. -->
# TweetRobertaNewDataset
This model is a fine-tuned version of [AndreiUrsu/TweetRoberta_5epochs](https://huggingface.co/AndreiUrsu... | {"tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "AndreiUrsu/TweetRoberta_5epochs", "model-index": [{"name": "TweetRobertaNewDataset", "results": []}]} | AndreiUrsu/TweetRobertaNewDataset | null | [
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| TweetRobertaNewDataset
======================
This model is a fine-tuned version of AndreiUrsu/TweetRoberta\_5epochs on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0000
* Accuracy: 1.0
* F1: 1.0
Model description
-----------------
More information needed
Intended use... | [
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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-160m_niki-041a_imdb_random-token-1280_10-rounds_seed-1
This model is a fine-tuned version of [EleutherAI/pythi... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "EleutherAI/pythia-160m", "model-index": [{"name": "robust_llm_pythia-160m_niki-041a_imdb_random-token-1280_10-rounds_seed-1", "results": []}]} | AlignmentResearch/robust_llm_pythia-160m_niki-041a_imdb_random-token-1280_10-rounds_seed-1 | null | [
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|
# robust_llm_pythia-160m_niki-041a_imdb_random-token-1280_10-rounds_seed-1
This model is a fine-tuned version of EleutherAI/pythia-160m on an unknown dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information ne... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_1-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_1-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_1-seqsight_65536_512_47M-L32_f | null | [
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| GUE\_mouse\_1-seqsight\_65536\_512\_47M-L32\_f
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2380
* F1 Score: 0.8971
*... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_4-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_4-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_65536_512_47M-L1_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_mouse\_4-seqsight\_65536\_512\_47M-L1\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5948
* F1 Score: 0.6707
* A... | [
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text-generation | transformers |
# Uploaded model
- **Developed by:** shkna1368
- **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", "pipeline_tag": "text-generation"} | shkna1368/kurdish_poetry_v3_model | null | [
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|
# Uploaded model
- Developed by: shkna1368
- License: apache-2.0
- Finetuned from model : unsloth/llama-3-8b-bnb-4bit
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
<img src="URL width="200"/> | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_4-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_4-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_65536_512_47M-L8_f | null | [
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_mouse\_4-seqsight\_65536\_512\_47M-L8\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5997
* F1 Score: 0.6760
* A... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_4-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_4-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_4-seqsight_65536_512_47M-L32_f | null | [
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"region:us"
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_mouse\_4-seqsight\_65536\_512\_47M-L32\_f
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_4 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5934
* F1 Score: 0.6669
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_3-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_3-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_65536_512_47M-L1_f | null | [
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] | null | 2024-05-03T16:51:22+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_mouse\_3-seqsight\_65536\_512\_47M-L1\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4966
* F1 Score: 0.7905
* A... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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text-generation | 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": []} | golf2248/wf4ax6j | 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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- Funded by [optional]:
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- License... | [
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_3-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_3-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_65536_512_47M-L8_f | null | [
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] | null | 2024-05-03T16:52:15+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_mouse\_3-seqsight\_65536\_512\_47M-L8\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.7229
* F1 Score: 0.7936
* A... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_3-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_3-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_3-seqsight_65536_512_47M-L32_f | null | [
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"generated_from_trainer",
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#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_mouse\_3-seqsight\_65536\_512\_47M-L32\_f
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_3 dataset.
It achieves the following results on the evaluation set:
* Loss: 1.0857
* F1 Score: 0.8073
*... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_2-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_2-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_65536_512_47M-L1_f | null | [
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"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T16:52:36+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_mouse\_2-seqsight\_65536\_512\_47M-L1\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3541
* F1 Score: 0.8658
* A... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
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text-generation | transformers | Quantization made by Richard Erkhov.
[Github](https://github.com/RichardErkhov)
[Discord](https://discord.gg/pvy7H8DZMG)
[Request more models](https://github.com/RichardErkhov/quant_request)
OpenCerebrum-1.0-7b-SFT - bnb 8bits
- Model creator: https://huggingface.co/Locutusque/
- Original model: https://huggingfac... | {} | RichardErkhov/Locutusque_-_OpenCerebrum-1.0-7b-SFT-8bits | null | [
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| Quantization made by Richard Erkhov.
Github
Discord
Request more models
OpenCerebrum-1.0-7b-SFT - bnb 8bits
- Model creator: URL
- Original model: URL
Original model description:
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_2-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:/... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_2-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_65536_512_47M-L8_f | null | [
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| GUE\_mouse\_2-seqsight\_65536\_512\_47M-L8\_f
=============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
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* F1 Score: 0.8750
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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": []} | dabagyan/bert-sarcasm-model | null | [
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null | transformers |
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_mouse_2-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https:... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_mouse_2-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_mouse_2-seqsight_65536_512_47M-L32_f | null | [
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| GUE\_mouse\_2-seqsight\_65536\_512\_47M-L32\_f
==============================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_mouse\_2 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5883
* F1 Score: 0.8628
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null | transformers |
# Uploaded model
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null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_splice_reconstructed-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_65536_512_47M-L1_f | null | [
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| GUE\_splice\_reconstructed-seqsight\_65536\_512\_47M-L1\_f
==========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
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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": []} | golf2248/kkngu4g | 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_splice_reconstructed-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_65536_512_47M-L8_f | null | [
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==========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed 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_splice_reconstructed-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_51... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_splice_reconstructed-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_splice_reconstructed-seqsight_65536_512_47M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T16:57:12+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_splice\_reconstructed-seqsight\_65536\_512\_47M-L32\_f
===========================================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_splice\_reconstructed dataset.
It achieves the following results on the evaluation set... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* ... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimi... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_0-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_tf_0-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_65536_512_47M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T16:57:13+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_tf\_0-seqsight\_65536\_512\_47M-L1\_f
==========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3808
* F1 Score: 0.8262
* Accuracy: ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* ... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimi... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_0-seqsight_65536_512_47M-L32_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https://h... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_tf_0-seqsight_65536_512_47M-L32_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_65536_512_47M-L32_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T16:58:02+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_tf\_0-seqsight\_65536\_512\_47M-L32\_f
===========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3741
* F1 Score: 0.8225
* Accuracy... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* ... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimi... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_0-seqsight_65536_512_47M-L8_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_tf_0-seqsight_65536_512_47M-L8_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_0-seqsight_65536_512_47M-L8_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T16:58:04+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_tf\_0-seqsight\_65536\_512\_47M-L8\_f
==========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_tf\_0 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3793
* F1 Score: 0.8292
* Accuracy: ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* ... | [
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimi... |
null | peft |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# GUE_tf_1-seqsight_65536_512_47M-L1_f
This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_65536_512_47M](https://hu... | {"library_name": "peft", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "mahdibaghbanzadeh/seqsight_65536_512_47M", "model-index": [{"name": "GUE_tf_1-seqsight_65536_512_47M-L1_f", "results": []}]} | mahdibaghbanzadeh/GUE_tf_1-seqsight_65536_512_47M-L1_f | null | [
"peft",
"safetensors",
"generated_from_trainer",
"base_model:mahdibaghbanzadeh/seqsight_65536_512_47M",
"region:us"
] | null | 2024-05-03T16:58:21+00:00 | [] | [] | TAGS
#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us
| GUE\_tf\_1-seqsight\_65536\_512\_47M-L1\_f
==========================================
This model is a fine-tuned version of mahdibaghbanzadeh/seqsight\_65536\_512\_47M on the mahdibaghbanzadeh/GUE\_tf\_1 dataset.
It achieves the following results on the evaluation set:
* Loss: 0.3515
* F1 Score: 0.8466
* Accuracy: ... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* training\\_steps: 10000",
... | [
"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* ... | [
43,
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"TAGS\n#peft #safetensors #generated_from_trainer #base_model-mahdibaghbanzadeh/seqsight_65536_512_47M #region-us \n### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0005\n* train\\_batch\\_size: 128\n* eval\\_batch\\_size: 128\n* seed: 42\n* optimi... |
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