modelId stringlengths 4 81 | tags list | pipeline_tag stringclasses 17
values | config dict | downloads int64 0 59.7M | first_commit timestamp[ns, tz=UTC] | card stringlengths 51 438k | embedding list |
|---|---|---|---|---|---|---|---|
Bagus/wav2vec2-xlsr-greek-speech-emotion-recognition | [
"pytorch",
"tensorboard",
"wav2vec2",
"el",
"dataset:aesdd",
"transformers",
"audio",
"audio-classification",
"speech",
"license:apache-2.0"
] | audio-classification | {
"architectures": [
"Wav2Vec2ForSpeechClassification"
],
"model_type": "wav2vec2",
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},
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"... | 21 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-ft750_reg1
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... | [
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Bala/model_name | [] | null | {
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"num_beams... | 0 | 2022-07-27T09:28:55Z | ---
language:
- zh
license: apache-2.0
tags:
- ZEN
- chinese
inference: false
---
# Erlangshen-ZEN2-668M-Chinese
- Github: [Fengshenbang-LM](https://github.com/IDEA-CCNL/Fengshenbang-LM)
- Docs: [Fengshenbang-Docs](https://fengshenbang-doc.readthedocs.io/)
## 简介 Brief Introduction
善于处理NLU任务，使用了N-gram编码增强文本语义，6... | [
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BaptisteDoyen/camembert-base-xnli | [
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"camembert",
"text-classification",
"fr",
"dataset:xnli",
"transformers",
"zero-shot-classification",
"xnli",
"nli",
"license:mit",
"has_space"
] | zero-shot-classification | {
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],
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... | 405,474 | 2022-07-27T10:15:48Z | ---
language: en
thumbnail: http://www.huggingtweets.com/jordo4today-paddedpossum-wrenfing/1658916978297/predictions.png
tags:
- huggingtweets
widget:
- text: "My dream is"
---
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; ... | [
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Batsy24/DialoGPT-small-Twilight_EdBot | [
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] | conversational | {
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"no_repeat_ngram_size... | 6 | null | ---
tags:
- FrozenLake-v1-4x4-no_slippery
- q-learning
- reinforcement-learning
- custom-implementation
model-index:
- name: q_FrozenLake_v1_4x4_noSlippery
results:
- metrics:
- type: mean_reward
value: 1.00 +/- 0.00
name: mean_reward
task:
type: reinforcement-learning
name: reinforc... | [
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Battlehooks/distilbert-base-uncased-finetuned-squad | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: distilbert-base-uncased-finetuned-ft780_class
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete i... | [
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BatuhanYilmaz/bert-finetuned-mrpc | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_trainer
datasets:
- big_patent
model-index:
- name: reformer-big_patent-wikipedia-arxiv-16384
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this commen... | [
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Baybars/debateGPT | [] | null | {
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"num_beams... | 0 | null | ---
license: mit
tags:
- text-classification
- generated_from_trainer
metrics:
- f1
- precision
- recall
model-index:
- name: deberta-v3-large-finetuned-synthetic-paraphrase-only
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should p... | [
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BertChristiaens/EmojiPredictor | [
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"transformers",
"autotrain_compatible"
] | token-classification | {
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... | 6 | null | ---
tags:
- generated_from_trainer
datasets:
- becasv2
model-index:
- name: roberta-base-spanish-squades-becasIncentivos4
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comme... | [
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Bharathdamu/wav2vec2-large-xls-r-300m-hindi3-colab | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-1
results:
- metrics:
- type: mean_reward
value: 11.90 +/- 1.81
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
da... | [
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Biasface/DDDC | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 14 | null | ---
library_name: stable-baselines3
tags:
- LunarLander-v2
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLander-v2
type: LunarLander-v2
... | [
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BigDaddyNe1L/Hhaa | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: mal-tls-bert-large-w8a8
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# mal-tls-bert-large-w8a8
This ... | [
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BigSalmon/FormalBerta3 | [
"pytorch",
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"transformers",
"autotrain_compatible"
] | fill-mask | {
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"no_repeat_ngra... | 4 | null | ---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: mini_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mini_model
This model is ... | [
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BigSalmon/FormalRobertaa | [
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] | fill-mask | {
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"no_repeat_ngra... | 5 | 2022-07-27T19:15:28Z | ---
language: en
license: mit
tags:
- conversational
---
# GPT-2 Large
## Table of Contents
- [Model Details](#model-details)
- [How To Get Started With the Model](#how-to-get-started-with-the-model)
- [Uses](#uses)
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
- [Training](#training)
- [Evaluation... | [
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BigSalmon/FormalRobertaaa | [
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] | fill-mask | {
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"no_repeat_ngra... | 12 | 2022-07-27T19:16:19Z | ---
tags:
- Pixelcopter-PLE-v0
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-2
results:
- metrics:
- type: mean_reward
value: -5.00 +/- 0.00
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning... | [
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BigSalmon/FroBurta | [] | null | {
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"num_beams... | 0 | 2022-07-27T19:32:19Z |
---
tags:
- unity-ml-agents
- ml-agents
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-Pyramids
library_name: ml-agents
---
# **ppo** Agent playing **Pyramids**
This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age... | [
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BigSalmon/GPT2HardArticleEasyArticle | [
"pytorch",
"jax",
"tensorboard",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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],
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"no_repeat_ngram_size... | 7 | 2022-07-27T19:43:11Z | ---
language: hi
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- speech
- wav2vec2
- asr
license: apache-2.0
---
# IndicWav2Vec-Hindi
This is a [Wav2Vec2](https://arxiv.org/abs/2006.11477) style ASR model trained in [fairseq](https://github.com/facebookresearch/fairseq) and ported to Hugging Face.... | [
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BigSalmon/GPT2HardandEasy | [
"pytorch",
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] | text-generation | {
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"no_repeat_ngram_size... | 9 | 2022-07-27T19:56:31Z | ---
license: apache-2.0
---
# Graphcore/wav2vec2-ctc-base-ipu
Optimum Graphcore is a new open-source library and toolkit that enables developers to access IPU-optimized models certified by Hugging Face. It is an extension of Transformers, providing a set of performance optimization tools enabling maximum efficiency t... | [
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BigSalmon/GPTHeHe | [
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] | text-generation | {
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"no_repeat_ngram_size... | 8 | 2022-07-27T19:58:27Z | ---
license: cc-by-4.0
---
import requests
API_URL = "https://api-inference.huggingface.co/models/bigscience/bloom"
headers = {"Authorization": f"Bearer {API_TOKEN}"}
def query(payload):
response = requests.post(API_URL, headers=headers, json=payload)
return response.json() | [
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BigSalmon/GPTNeo350MInformalToFormalLincoln | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
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],
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},
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"no_repeat_ngram... | 8 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
model-index:
- name: distilbert-base-uncased-finetuned-emotion
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then r... | [
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BigSalmon/GPTNeo350MInformalToFormalLincoln2 | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers",
"has_space"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
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},
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"no_repeat_ngram... | 8 | 2022-07-27T20:25:55Z | ---
tags:
- conversational
---
# Harry Potter DialoGPT Model | [
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BigSalmon/InformalToFormalLincoln23 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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],
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"no_repeat_ngram_size... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: vc-bantai-vit-withoutAMBI-adunest-trial
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
args: ... | [
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BigSalmon/InformalToFormalLincoln24 | [
"pytorch",
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"transformers",
"has_space"
] | text-generation | {
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"no_repeat_ngram_size... | 5 | null | ---
tags:
- conversational
---
# Josh DialoGPT Model | [
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BigSalmon/InformalToFormalLincoln25 | [
"pytorch",
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"text-generation",
"transformers",
"has_space"
] | text-generation | {
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],
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"no_repeat_ngram_size... | 10 | null | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: OMARS200/Traductor
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# OMARS200/Traduc... | [
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BigSalmon/Lincoln4 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
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},
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"min_length": null,
"no_repeat_ngram_size... | 11 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: vc-bantai-vit-withoutAMBI-adunest-v1
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
args: Vio... | [
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BigSalmon/MrLincoln4 | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
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"no_repeat_ngram_size... | 10 | null | ---
tags:
- generated_from_keras_callback
model-index:
- name: t5-small-finetuned-noisy-en-ms
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# t5-small-finetuned-nois... | [
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BigSalmon/NEO125InformalToFormalLincoln | [
"pytorch",
"gpt_neo",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPTNeoForCausalLM"
],
"model_type": "gpt_neo",
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},
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"min_length": null,
"no_repeat_ngram... | 8 | null | ---
language:
- en
- ro
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- wmt16
metrics:
- bleu
model-index:
- name: finetuned-mt5-small
results:
- task:
name: Translation
type: translation
dataset:
name: wmt16 ro-en
type: wmt16
args: ro-en
metrics:
- name: Ble... | [
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Binbin/test | [] | null | {
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"num_beams... | 0 | null | ---
datasets:
- relbert/conceptnet_high_confidence
model-index:
- name: relbert/roberta-large-conceptnet-average-prompt-a-nce
results:
- task:
name: Relation Mapping
type: sorting-task
dataset:
name: Relation Mapping
args: relbert/relation_mapping
type: relation-mapping
metrics... | [
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0... |
BlightZz/DialoGPT-medium-Kurisu | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": 1000
},
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"no_repeat_ngram_size... | 19 | 2022-07-28T08:36:14Z | ---
language:
- en
tags:
- pytorch
- text-generation
- causal-lm
- rwkv
license: apache-2.0
datasets:
- the_pile
---
# RWKV-4 169M
# Use RWKV-4 models (NOT RWKV-4a, NOT RWKV-4b) unless you know what you are doing.
# Use RWKV-4 models (NOT RWKV-4a, NOT RWKV-4b) unless you know what you are doing.
# Use RWKV-4 models ... | [
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BlueGamerBeast/DialoGPT-small-joshua | [] | null | {
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"num_beams... | 0 | null | # w1-speech-recognition
## Prerequisites
* libsndfile
`brew install libsndfile`
* python 3
`brew install python`
## Prepare local environment
In project root directory:
Create virtual environment:
`python3 -m venv venv`
Activate it:
`source venv/bin/activate`
## Run flask app:
```bash
./run.sh
```
You can ac... | [
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Bman/DialoGPT-medium-harrypotter | [] | null | {
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"num_beams... | 0 | null | ---
tags:
- CartPole-v1
- reinforce
- reinforcement-learning
- custom-implementation
- deep-rl-class
model-index:
- name: Reinforce-v0
results:
- metrics:
- type: mean_reward
value: 99.30 +/- 29.54
name: mean_reward
task:
type: reinforcement-learning
name: reinforcement-learning
... | [
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Brinah/1 | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: En-Zu_update
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment.... | [
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Broadus20/DialoGPT-small-harrypotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
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"GPT2LMHeadModel"
],
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},
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"no_repeat_ngram_size... | 9 | null | ---
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: camembert-base-finetuned-ft750_reg2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this co... | [
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0.0... |
Brokette/projetCS | [
"pytorch",
"wav2vec2",
"automatic-speech-recognition",
"transformers"
] | automatic-speech-recognition | {
"architectures": [
"Wav2Vec2ForCTC"
],
"model_type": "wav2vec2",
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},
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"min_length": null,
"no_repeat_ngram_s... | 4 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- common_voice
model-index:
- name: wav2vec2-large-xls-r-300m-j-roman-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | [
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Brona/model1 | [] | null | {
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"num_beams... | 0 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- accuracy
model-index:
- name: bert-base-uncased-finetuned-wnli
results:
- task:
name: Text Classification
type: text-classification
dataset:
name: glue
type: glue
config: wnli
split: train
... | [
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Brona/poc_de | [] | null | {
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"num_beams... | 0 | 2022-07-28T11:31:28Z | ---
language:
- multilingual
- en
- ja
tags:
- t5
- text2text-generation
- seq2seq
license: cc-by-sa-4.0
datasets:
- wikipedia
- oscar
- cc100
---
# 英語+日本語T5事前学習済みモデル
This is a T5 (Text-to-Text Transfer Transformer) model pretrained on English and Japanese balanced corpus.
次の日本語コーパス（約500GB）を用いて事前学習を行ったT5 (Text-to-Te... | [
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0.0... |
Brunomezenga/NN | [] | null | {
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"num_beams... | 0 | null | ---
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
---
# {MODEL_NAME}
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like cluste... | [
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0.08364398777484894,
0.03946809098124504,
0.013144438154995441,
0.00234610796906054,
0.04092745... |
Bryan190/Aguy190 | [] | null | {
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"num_beams... | 0 | null | ---
license: cc-by-nc-4.0
datasets:
- HuggingFaceM4/something_something_v2
tags:
- video-action-recognition
metrics:
- accuracy
---
| [
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Bubb-les/DisloGPT-medium-HarryPotter | [
"pytorch",
"gpt2",
"text-generation",
"transformers",
"conversational"
] | conversational | {
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"GPT2LMHeadModel"
],
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"no_repeat_ngram_size... | 8 | null | ---
language:
- en
thumbnail: "http://s4.thingpic.com/images/Yx/zFbS5iJFJMYNxDp9HTR7TQtT.png"
tags:
- text-classification
- lyrics
- catboost
license: gpl-3.0
datasets:
- data
metrics:
- accuracy
widget:
- text: "I know when that hotline bling, that can only mean one thing"
---
# Lyrics Classifier
This submissio... | [
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BumBelDumBel/TRUMP | [
"pytorch",
"tensorboard",
"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit"
] | text-generation | {
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],
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"no_repeat_ngram_size... | 5 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: my_first_model
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: tr... | [
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BumBelDumBel/ZORK-AI-TEST | [
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"gpt2",
"text-generation",
"transformers",
"generated_from_trainer",
"license:mit"
] | text-generation | {
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"no_repeat_ngram_size... | 9 | null | ---
license: mit
tags:
- generated_from_trainer
model-index:
- name: ES_corlec_DeepESP-gpt2-spanish
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# ES_corlec_D... | [
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0.034... |
BunakovD/sd | [] | null | {
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"num_beams... | 0 | null | ---
library_name: stable-baselines3
tags:
- CarRacing-v0
- deep-reinforcement-learning
- reinforcement-learning
- stable-baselines3
model-index:
- name: PPO
results:
- metrics:
- type: mean_reward
value: 184.31 +/- 191.08
name: mean_reward
task:
type: reinforcement-learning
name: rei... | [
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Buntan/xlm-roberta-base-finetuned-marc-en | [] | null | {
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"num_beams... | 0 | null | ---
language:
- en
- zh
thumbnail: "url to a thumbnail used in social sharing"
tags:
- translation
license: apache-2.0
datasets:
- THUOCL清华大学开放中文词库
metrics:
- bleu
---
# Model Details
- **Model Description:**
This model has been pre-trained for English-Chinese Translation, and use datasets of THUOCL to fine tune ... | [
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Bwehfuk/Ron | [] | null | {
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license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-xlsr-530-serbian-colab
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav... | [
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CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
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"transformers",
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] | text-classification | {
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},
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"no_rep... | 73 | null | ---
widget:
- text: "415 Lyon Lettres de rémission accordées à Denis Fromant, marinier, pour meurtre commis à Saint-Haon 1, au pays de Roannais, sur la personne de Driet Cantin qui l'accusait d'avoir maltraité un de ses pages et de l'avoir dépouillé d'une jument (Fol 145 v°, n° 415) Septembre 1501."
example_title: "F... | [
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CAMeL-Lab/bert-base-arabic-camelbert-da-ner | [
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"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
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"no_repeat... | 42 | null | ---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased-finetuned-imdb
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-did-madar-corpus6 | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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},
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"no_rep... | 34 | null | ---
license: apache-2.0
tags:
- summarisation
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bert-small2bert-small-finetuned-cnn_daily_mail-summarization-finetuned-bbc-news-old
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-glf | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
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},
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"min_length": null,
"no_repeat... | 132 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_1
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 1
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train th... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-pos-msa | [
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"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
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},
"summarization": {
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"max_length": null,
"min_length": null,
"no_repeat... | 1,862 | null | ---
tags:
- conversational
---
# Josh DialoGPT Model | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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},
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"min_length": null,
"no_rep... | 855 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_2
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 2
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train th... | [
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CAMeL-Lab/bert-base-arabic-camelbert-mix | [
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"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"Arabic",
"Dialect",
"Egyptian",
"Gulf",
"Levantine",
"Classical Arabic",
"MSA",
"Modern Standard Arabic",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
],
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},
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"no_repeat_ngram_size... | 20,880 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_3
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 3
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train th... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-did-madar-twitter5 | [
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"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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},
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"min_length": null,
"no_rep... | 75 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_4
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 4
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train th... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-did-nadi | [
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"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
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"no_rep... | 71 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_5
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 5
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train th... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-eighth | [
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"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
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] | fill-mask | {
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"no_repeat_ngram_size... | 21 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_6
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 6
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train th... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-ner | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
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},
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"max_length": null,
"min_length": null,
"no_repeat... | 229 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_7
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 7
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train th... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-poetry | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:1905.05700",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"no_rep... | 25 | 2022-07-28T16:55:28Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_8
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 8
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train th... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-egy | [
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"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
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],
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},
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"no_repeat... | 52 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_9
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 9
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train th... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-glf | [
"pytorch",
"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
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],
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},
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"no_repeat... | 21 | 2022-07-28T16:56:57Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_10
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 10
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-pos-msa | [
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"tf",
"bert",
"token-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | token-classification | {
"architectures": [
"BertForTokenClassification"
],
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},
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"no_repeat... | 133 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_11
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 11
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-quarter | [
"pytorch",
"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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},
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"no_repeat_ngram_size... | 12 | 2022-07-28T16:59:07Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_12
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 12
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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0.032878... |
CAMeL-Lab/bert-base-arabic-camelbert-msa-sentiment | [
"pytorch",
"tf",
"bert",
"text-classification",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
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},
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"max_length": null,
"min_length": null,
"no_rep... | 574 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_13
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 13
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth | [
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"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"BertForMaskedLM"
],
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},
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"no_repeat_ngram_size... | 26 | 2022-07-28T17:00:02Z | ---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: finetuning-sentiment-model-3000-samples
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, the... | [
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0... |
CAMeL-Lab/bert-base-arabic-camelbert-msa | [
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"tf",
"jax",
"bert",
"fill-mask",
"ar",
"arxiv:2103.06678",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 2,967 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_14
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 14
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CAUKiel/JavaBERT-uncased | [
"pytorch",
"safetensors",
"bert",
"fill-mask",
"java",
"code",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
],
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"no_repeat_ngram_size... | 7 | 2022-07-28T17:01:23Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_15
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 15
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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0.0330... |
CAUKiel/JavaBERT | [
"pytorch",
"safetensors",
"bert",
"fill-mask",
"code",
"arxiv:2110.10404",
"arxiv:1910.09700",
"transformers",
"license:apache-2.0",
"autotrain_compatible"
] | fill-mask | {
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"BertForMaskedLM"
],
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},
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"min_length": null,
"no_repeat_ngram_size... | 388 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_16
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 16
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CBreit00/DialoGPT_small_Rick | [] | null | {
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"num_beams... | 0 | 2022-07-28T17:02:47Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_17
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 17
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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0.0... |
CL/safe-math-bot | [] | null | {
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"num_beams... | 0 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_18
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 18
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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0.0... |
CLAck/en-km | [
"pytorch",
"marian",
"text2text-generation",
"transformers",
"translation",
"autotrain_compatible"
] | translation | {
"architectures": [
"MarianMTModel"
],
"model_type": "marian",
"task_specific_params": {
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},
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"no_repeat_ngram_size... | 12 | 2022-07-29T11:10:05Z | ---
tags:
- generated_from_trainer
model-index:
- name: DNADebertaSentencepiece30k
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# DNADebertaSentencepiece30k
... | [
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0... |
CLAck/en-vi | [
"pytorch",
"marian",
"text2text-generation",
"en",
"vi",
"dataset:ALT",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | {
"architectures": [
"MarianMTModel"
],
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},
"summarization": {
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"min_length": null,
"no_repeat_ngram_size... | 8 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_19
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 19
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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0.0... |
CLAck/indo-mixed | [
"pytorch",
"marian",
"text2text-generation",
"en",
"id",
"dataset:ALT",
"transformers",
"translation",
"license:apache-2.0",
"autotrain_compatible"
] | translation | {
"architectures": [
"MarianMTModel"
],
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},
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"no_repeat_ngram_size... | 15 | 2022-07-28T17:05:11Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_20
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 20
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLAck/indo-pure | [
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"text2text-generation",
"en",
"id",
"dataset:ALT",
"transformers",
"translation",
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"no_repeat_ngram_size... | 4 | 2022-07-28T17:06:01Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_21
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 21
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLAck/vi-en | [
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"no_repeat_ngram_size... | 6 | 2022-07-28T17:06:52Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_22
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 22
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLEE/CLEE | [] | null | {
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language: en
tags:
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license: mit
datasets:
- wikipedia
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---
# RoBERTa, Intermediate Checkpoint - Epoch 23
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLS/WubiBERT_models | [] | null | {
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"num_beams... | 0 | 2022-07-28T17:08:20Z | ---
language: en
tags:
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license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 24
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLTL/MedRoBERTa.nl | [
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"no_repeat_ngra... | 2,988 | 2022-07-28T17:09:03Z | ---
language: en
tags:
- roberta-base
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license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 25
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLTL/gm-ner-xlmrbase | [
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... | 2 | 2022-07-28T17:09:55Z | ---
language: en
tags:
- roberta-base
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license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 26
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLTL/icf-domains | [
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"min_length": nul... | 35 | 2022-07-28T17:10:38Z | ---
language: en
tags:
- roberta-base
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license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 27
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLTL/icf-levels-adm | [
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"... | 33 | 2022-07-28T17:11:20Z | ---
language: en
tags:
- roberta-base
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license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 28
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLTL/icf-levels-att | [
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"... | 32 | 2022-07-28T17:12:07Z | ---
language: en
tags:
- roberta-base
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license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 29
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLTL/icf-levels-ber | [
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"... | 33 | 2022-07-28T17:13:21Z | ---
language: en
tags:
- roberta-base
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license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 30
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLTL/icf-levels-enr | [
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"... | 30 | 2022-07-28T17:14:05Z | ---
language: en
tags:
- roberta-base
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license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 31
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLTL/icf-levels-fac | [
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"... | 32 | 2022-07-28T17:14:49Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_32
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 32
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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"... | 32 | null | ---
language: en
tags:
- roberta-base
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license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 33
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLTL/icf-levels-mbw | [
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"... | 30 | 2022-07-28T17:16:23Z | ---
language: en
tags:
- roberta-base
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license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 34
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CLTL/icf-levels-stm | [
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"... | 32 | null | ---
library_name: keras
---
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
| name | learning_... | [
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CM-CA/Cartman | [] | null | {
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"num_beams... | 0 | 2022-07-28T17:17:09Z | ---
language: en
tags:
- roberta-base
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license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 35
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CM-CA/DialoGPT-small-cartman | [] | null | {
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language: en
tags:
- roberta-base
- roberta-base-epoch_36
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 36
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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0.05953902751207352,
0.045067280530929565,
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0.0027510132640600204,
0... |
CNT-UPenn/Bio_ClinicalBERT_for_seizureFreedom_classification | [
"pytorch",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
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},
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"no_rep... | 28 | 2022-07-28T17:18:27Z | ---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: dspa
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# dspa
This model is a fine-tu... | [
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0.039... |
CNT-UPenn/RoBERTa_for_seizureFrequency_QA | [
"pytorch",
"roberta",
"question-answering",
"transformers",
"autotrain_compatible"
] | question-answering | {
"architectures": [
"RobertaForQuestionAnswering"
],
"model_type": "roberta",
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},
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"max_length": null,
"min_length": null,
"no_re... | 5 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_37
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 37
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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CSResearcher/TestModel | [
"license:mit"
] | null | {
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},
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"num_beams... | 0 | 2022-07-28T17:19:21Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_38
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 38
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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0.0042599341832101345,
0.0... |
CSZay/bart | [] | null | {
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},
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"num_beams... | 0 | null | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_39
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 39
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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0.004057367332279682,
0.030... |
CTBC/ATS | [] | null | {
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},
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"num_beams... | 0 | 2022-07-28T17:21:04Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_40
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 40
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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0.004796059336513281,
0.0... |
CZWin32768/xlm-align | [
"pytorch",
"xlm-roberta",
"fill-mask",
"arxiv:2106.06381",
"transformers",
"autotrain_compatible"
] | fill-mask | {
"architectures": [
"XLMRobertaForMaskedLM"
],
"model_type": "xlm-roberta",
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},
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"max_length": null,
"min_length": null,
"no_repe... | 6 | 2022-07-28T17:21:50Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_41
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 41
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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0.06197604909539223,
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0.004949156194925308,
0.... |
Caddy/UD | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | 2022-07-28T17:22:35Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_42
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 42
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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0.04848938435316086,
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0.004944332409650087,
0.0... |
Calamarii/calamari | [] | null | {
"architectures": null,
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},
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"num_beams... | 0 | 2022-07-28T17:23:18Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_43
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 43
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
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0.016949191689491272,
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0.06284170597791672,
0.04630637913942337,
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0.004936364945024252,
0.0... |
Callidior/bert2bert-base-arxiv-titlegen | [
"pytorch",
"safetensors",
"encoder-decoder",
"text2text-generation",
"en",
"dataset:arxiv_dataset",
"transformers",
"summarization",
"license:apache-2.0",
"autotrain_compatible",
"has_space"
] | summarization | {
"architectures": [
"EncoderDecoderModel"
],
"model_type": "encoder-decoder",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_re... | 145 | 2022-07-28T17:24:01Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_44
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 44
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
-0.014523573219776154,
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0.010334460996091366,
0.05235985666513443,
0.017355572432279587,
0.04402024671435356,
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0.06342639029026031,
0.0464753732085228,
-0.023042988032102585,
0.005299841053783894,
0.... |
CallumRai/HansardGPT2 | [
"pytorch",
"jax",
"gpt2",
"text-generation",
"transformers"
] | text-generation | {
"architectures": [
"GPT2LMHeadModel"
],
"model_type": "gpt2",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat_ngram_size... | 14 | 2022-07-28T17:24:44Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_45
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 45
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
-0.013330057263374329,
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0.06307366490364075,
0.047302525490522385,
-0.02141142636537552,
0.002919617807492614,
0... |
CalvinHuang/mt5-small-finetuned-amazon-en-es | [
"pytorch",
"tensorboard",
"mt5",
"text2text-generation",
"transformers",
"summarization",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible"
] | summarization | {
"architectures": [
"MT5ForConditionalGeneration"
],
"model_type": "mt5",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_repeat... | 16 | 2022-07-28T17:25:28Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_46
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 46
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
-0.014909652993083,
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0.011464291252195835,
0.05366593226790428,
0.017312411218881607,
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0.06277357041835785,
0.045712295919656754,
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0.003961247857660055,
0.03107... |
Cameron/BERT-Jigsaw | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 35 | 2022-07-28T17:26:12Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_47
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 47
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
-0.01506113726645708,
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0.05334048718214035,
0.01748562417924404,
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0.06289271265268326,
0.04687810689210892,
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0.00442729564383626,
0.0319... |
Cameron/BERT-SBIC-offensive | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 31 | 2022-07-28T17:26:55Z | ---
language: en
tags:
- roberta-base
- roberta-base-epoch_48
license: mit
datasets:
- wikipedia
- bookcorpus
---
# RoBERTa, Intermediate Checkpoint - Epoch 48
This model is part of our reimplementation of the [RoBERTa model](https://arxiv.org/abs/1907.11692),
trained on Wikipedia and the Book Corpus only.
We train ... | [
-0.015343929640948772,
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0.008588607423007488,
0.05329297482967377,
0.01716974936425686,
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0.0010225462028756738,
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0.06381849199533463,
0.04498725011944771,
-0.022626729682087898,
0.004721338395029306,
0.0... |
Cameron/BERT-SBIC-targetcategory | [
"pytorch",
"jax",
"bert",
"text-classification",
"transformers"
] | text-classification | {
"architectures": [
"BertForSequenceClassification"
],
"model_type": "bert",
"task_specific_params": {
"conversational": {
"max_length": null
},
"summarization": {
"early_stopping": null,
"length_penalty": null,
"max_length": null,
"min_length": null,
"no_rep... | 30 | 2022-07-28T17:26:57Z | ---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
model-index:
- name: BERT_Mod_2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# BERT_Mo... | [
-0.02620534598827362,
0.00024168865638785064,
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0.04336075857281685,
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0.0630522072315216,
0.019638637080788612,
-0.023594066500663757,
0.018172115087509155,
... |
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