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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. -->
# splinter-large-few-shot-k-64-finetuned-squad-seed-2
This model is a fine-tuned version of [tau/splinter-large-qass](https://hugg... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-64-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-64-finetuned-squad-seed-2 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T19:30:00+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-64-finetuned-squad-seed-2
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
"# splinter-large-few-shot-k-64-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information n... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-64-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model d... |
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-large-few-shot-k-64-finetuned-squad-seed-4
This model is a fine-tuned version of [roberta-large](https://huggingface.co/... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-few-shot-k-64-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/roberta-large-few-shot-k-64-finetuned-squad-seed-4 | null | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T19:35:59+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us
|
# roberta-large-few-shot-k-64-finetuned-squad-seed-4
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
###... | [
"# roberta-large-few-shot-k-64-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"... | [
"TAGS\n#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us \n",
"# roberta-large-few-shot-k-64-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore ... |
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. -->
# splinter-large-few-shot-k-64-finetuned-squad-seed-4
This model is a fine-tuned version of [tau/splinter-large-qass](https://hugg... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-64-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-64-finetuned-squad-seed-4 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T19:40:23+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-64-finetuned-squad-seed-4
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pro... | [
"# splinter-large-few-shot-k-64-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information n... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-64-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model d... |
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-large-few-shot-k-128-finetuned-squad-seed-0
This model is a fine-tuned version of [roberta-large](https://huggingface.co... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-few-shot-k-128-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/roberta-large-few-shot-k-128-finetuned-squad-seed-0 | null | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T19:48:33+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us
|
# roberta-large-few-shot-k-128-finetuned-squad-seed-0
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
"# roberta-large-few-shot-k-128-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us \n",
"# roberta-large-few-shot-k-128-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore... |
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. -->
# splinter-large-few-shot-k-128-finetuned-squad-seed-0
This model is a fine-tuned version of [tau/splinter-large-qass](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-128-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-128-finetuned-squad-seed-0 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T19:51:17+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-128-finetuned-squad-seed-0
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
"# splinter-large-few-shot-k-128-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-128-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model ... |
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-large-few-shot-k-128-finetuned-squad-seed-2
This model is a fine-tuned version of [roberta-large](https://huggingface.co... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-few-shot-k-128-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/roberta-large-few-shot-k-128-finetuned-squad-seed-2 | null | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T19:59:13+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us
|
# roberta-large-few-shot-k-128-finetuned-squad-seed-2
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
"# roberta-large-few-shot-k-128-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us \n",
"# roberta-large-few-shot-k-128-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore... |
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. -->
# splinter-large-few-shot-k-128-finetuned-squad-seed-2
This model is a fine-tuned version of [tau/splinter-large-qass](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-128-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-128-finetuned-squad-seed-2 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T20:02:01+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-128-finetuned-squad-seed-2
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
"# splinter-large-few-shot-k-128-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-128-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model ... |
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-large-few-shot-k-128-finetuned-squad-seed-4
This model is a fine-tuned version of [roberta-large](https://huggingface.co... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-few-shot-k-128-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/roberta-large-few-shot-k-128-finetuned-squad-seed-4 | null | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T20:10:06+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us
|
# roberta-large-few-shot-k-128-finetuned-squad-seed-4
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
"# roberta-large-few-shot-k-128-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us \n",
"# roberta-large-few-shot-k-128-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore... |
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. -->
# splinter-large-few-shot-k-128-finetuned-squad-seed-4
This model is a fine-tuned version of [tau/splinter-large-qass](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-128-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-128-finetuned-squad-seed-4 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T20:16:06+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-128-finetuned-squad-seed-4
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
"# splinter-large-few-shot-k-128-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-128-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model ... |
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. -->
# splinter-large-few-shot-k-256-finetuned-squad-seed-0
This model is a fine-tuned version of [tau/splinter-large-qass](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-256-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-256-finetuned-squad-seed-0 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T20:30:12+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-256-finetuned-squad-seed-0
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
"# splinter-large-few-shot-k-256-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-256-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model ... |
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-large-few-shot-k-256-finetuned-squad-seed-0
This model is a fine-tuned version of [roberta-large](https://huggingface.co... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-few-shot-k-256-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/roberta-large-few-shot-k-256-finetuned-squad-seed-0 | null | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T20:30:14+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us
|
# roberta-large-few-shot-k-256-finetuned-squad-seed-0
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
"# roberta-large-few-shot-k-256-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us \n",
"# roberta-large-few-shot-k-256-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore... |
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. -->
# mbart-large-cc25-ind_finetun-hi-to-en
This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/f... | {"tags": ["generated_from_trainer"], "datasets": ["hindi_english_machine_translation"], "metrics": ["bleu"], "model-index": [{"name": "mbart-large-cc25-ind_finetun-hi-to-en", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "hindi_english_machi... | prashanth/mbart-large-cc25-ind_finetun-hi-to-en | null | [
"transformers",
"pytorch",
"tensorboard",
"mbart",
"text2text-generation",
"generated_from_trainer",
"dataset:hindi_english_machine_translation",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T20:33:51+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #mbart #text2text-generation #generated_from_trainer #dataset-hindi_english_machine_translation #model-index #autotrain_compatible #endpoints_compatible #region-us
| mbart-large-cc25-ind\_finetun-hi-to-en
======================================
This model is a fine-tuned version of facebook/mbart-large-cc25 on the hindi\_english\_machine\_translation dataset.
It achieves the following results on the evaluation set:
* Loss: 1.4042
* Bleu: 15.9135
* Gen Len: 70.155
Model descrip... | [
"### 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* num\\_epochs: 1",
"### Training... | [
"TAGS\n#transformers #pytorch #tensorboard #mbart #text2text-generation #generated_from_trainer #dataset-hindi_english_machine_translation #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lea... |
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. -->
# splinter-large-few-shot-k-256-finetuned-squad-seed-2
This model is a fine-tuned version of [tau/splinter-large-qass](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-256-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-256-finetuned-squad-seed-2 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T20:41:55+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-256-finetuned-squad-seed-2
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
"# splinter-large-few-shot-k-256-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-256-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model ... |
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-large-few-shot-k-256-finetuned-squad-seed-2
This model is a fine-tuned version of [roberta-large](https://huggingface.co... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-few-shot-k-256-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/roberta-large-few-shot-k-256-finetuned-squad-seed-2 | null | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T20:41:56+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us
|
# roberta-large-few-shot-k-256-finetuned-squad-seed-2
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
"# roberta-large-few-shot-k-256-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us \n",
"# roberta-large-few-shot-k-256-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore... |
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-large-few-shot-k-256-finetuned-squad-seed-4
This model is a fine-tuned version of [roberta-large](https://huggingface.co... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-few-shot-k-256-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/roberta-large-few-shot-k-256-finetuned-squad-seed-4 | null | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T20:52:47+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us
|
# roberta-large-few-shot-k-256-finetuned-squad-seed-4
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
"# roberta-large-few-shot-k-256-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us \n",
"# roberta-large-few-shot-k-256-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore... |
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. -->
# splinter-large-few-shot-k-256-finetuned-squad-seed-4
This model is a fine-tuned version of [tau/splinter-large-qass](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-256-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-256-finetuned-squad-seed-4 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T20:53:30+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-256-finetuned-squad-seed-4
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
"# splinter-large-few-shot-k-256-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-256-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model ... |
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-large-few-shot-k-512-finetuned-squad-seed-0
This model is a fine-tuned version of [roberta-large](https://huggingface.co... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-few-shot-k-512-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/roberta-large-few-shot-k-512-finetuned-squad-seed-0 | null | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T21:04:23+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us
|
# roberta-large-few-shot-k-512-finetuned-squad-seed-0
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
"# roberta-large-few-shot-k-512-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us \n",
"# roberta-large-few-shot-k-512-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore... |
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. -->
# splinter-large-few-shot-k-512-finetuned-squad-seed-0
This model is a fine-tuned version of [tau/splinter-large-qass](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-512-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-512-finetuned-squad-seed-0 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T21:04:57+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-512-finetuned-squad-seed-0
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
"# splinter-large-few-shot-k-512-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-512-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model ... |
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. -->
# mbart-large-cc25-ind_finetun-en-to-hi
This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/f... | {"tags": ["generated_from_trainer"], "datasets": ["hindi_english_machine_translation"], "metrics": ["bleu"], "model-index": [{"name": "mbart-large-cc25-ind_finetun-en-to-hi", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "hindi_english_machi... | prashanth/mbart-large-cc25-ind_finetun-en-to-hi | null | [
"transformers",
"pytorch",
"tensorboard",
"mbart",
"text2text-generation",
"generated_from_trainer",
"dataset:hindi_english_machine_translation",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T21:06:44+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #mbart #text2text-generation #generated_from_trainer #dataset-hindi_english_machine_translation #model-index #autotrain_compatible #endpoints_compatible #region-us
| mbart-large-cc25-ind\_finetun-en-to-hi
======================================
This model is a fine-tuned version of facebook/mbart-large-cc25 on the hindi\_english\_machine\_translation dataset.
It achieves the following results on the evaluation set:
* Loss: 1.8148
* Bleu: 7.8242
* Gen Len: 75.28
Model descripti... | [
"### 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* num\\_epochs: 1",
"### Training... | [
"TAGS\n#transformers #pytorch #tensorboard #mbart #text2text-generation #generated_from_trainer #dataset-hindi_english_machine_translation #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lea... |
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. -->
# xlm-roberta
This model is a fine-tuned version of [AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru](https://huggingface.... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "xlm-roberta", "results": []}]} | ruselkomp/xlm-roberta | null | [
"transformers",
"pytorch",
"tensorboard",
"xlm-roberta",
"question-answering",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T21:18:34+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #xlm-roberta #question-answering #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us
| xlm-roberta
===========
This model is a fine-tuned version of AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1842
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: 3\n* eval\\_batch\\_size: 3\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Training... | [
"TAGS\n#transformers #pytorch #tensorboard #xlm-roberta #question-answering #generated_from_trainer #license-apache-2.0 #endpoints_compatible #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: 3\n* eval... |
fill-mask | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# hm192494/distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilrobert... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "hm192494/distilgpt2-finetuned-wikitext2", "results": []}]} | hm192494/distilgpt2-finetuned-wikitext2 | null | [
"transformers",
"tf",
"tensorboard",
"roberta",
"fill-mask",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T21:18:41+00:00 | [] | [] | TAGS
#transformers #tf #tensorboard #roberta #fill-mask #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| hm192494/distilgpt2-finetuned-wikitext2
=======================================
This model is a fine-tuned version of distilroberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 6.1414
* Validation Loss: 5.4539
* Epoch: 0
Model description
-----------------
M... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
... | [
"TAGS\n#transformers #tf #tensorboard #roberta #fill-mask #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learni... |
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-large-few-shot-k-512-finetuned-squad-seed-2
This model is a fine-tuned version of [roberta-large](https://huggingface.co... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-few-shot-k-512-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/roberta-large-few-shot-k-512-finetuned-squad-seed-2 | null | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T21:19:24+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us
|
# roberta-large-few-shot-k-512-finetuned-squad-seed-2
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
"# roberta-large-few-shot-k-512-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us \n",
"# roberta-large-few-shot-k-512-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore... |
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. -->
# splinter-large-few-shot-k-512-finetuned-squad-seed-2
This model is a fine-tuned version of [tau/splinter-large-qass](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-512-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-512-finetuned-squad-seed-2 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T21:19:32+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-512-finetuned-squad-seed-2
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
"# splinter-large-few-shot-k-512-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-512-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model ... |
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-large-few-shot-k-512-finetuned-squad-seed-4
This model is a fine-tuned version of [roberta-large](https://huggingface.co... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-few-shot-k-512-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/roberta-large-few-shot-k-512-finetuned-squad-seed-4 | null | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T21:34:05+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us
|
# roberta-large-few-shot-k-512-finetuned-squad-seed-4
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
##... | [
"# roberta-large-few-shot-k-512-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us \n",
"# roberta-large-few-shot-k-512-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore... |
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-large-few-shot-k-1024-finetuned-squad-seed-0
This model is a fine-tuned version of [roberta-large](https://huggingface.c... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-few-shot-k-1024-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/roberta-large-few-shot-k-1024-finetuned-squad-seed-0 | null | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T21:49:13+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us
|
# roberta-large-few-shot-k-1024-finetuned-squad-seed-0
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
"# roberta-large-few-shot-k-1024-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us \n",
"# roberta-large-few-shot-k-1024-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMor... |
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. -->
# splinter-large-few-shot-k-1024-finetuned-squad-seed-0
This model is a fine-tuned version of [tau/splinter-large-qass](https://hu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-1024-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-1024-finetuned-squad-seed-0 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T21:49:18+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-1024-finetuned-squad-seed-0
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
"# splinter-large-few-shot-k-1024-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-1024-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model... |
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. -->
# mbart-large-cc25-ge-en-to-hi
This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/m... | {"tags": ["generated_from_trainer"], "datasets": ["hindi_english_machine_translation"], "metrics": ["bleu"], "model-index": [{"name": "mbart-large-cc25-ge-en-to-hi", "results": [{"task": {"type": "text2text-generation", "name": "Sequence-to-sequence Language Modeling"}, "dataset": {"name": "hindi_english_machine_transl... | prashanth/mbart-large-cc25-ge-en-to-hi | null | [
"transformers",
"pytorch",
"tensorboard",
"mbart",
"text2text-generation",
"generated_from_trainer",
"dataset:hindi_english_machine_translation",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T22:04:55+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #mbart #text2text-generation #generated_from_trainer #dataset-hindi_english_machine_translation #model-index #autotrain_compatible #endpoints_compatible #region-us
| mbart-large-cc25-ge-en-to-hi
============================
This model is a fine-tuned version of facebook/mbart-large-cc25 on the hindi\_english\_machine\_translation dataset.
It achieves the following results on the evaluation set:
* Loss: 1.3397
* Bleu: 4.5974
* Gen Len: 66.244
Model description
----------------... | [
"### 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* num\\_epochs: 1",
"### Training... | [
"TAGS\n#transformers #pytorch #tensorboard #mbart #text2text-generation #generated_from_trainer #dataset-hindi_english_machine_translation #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* lea... |
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-large-few-shot-k-1024-finetuned-squad-seed-2
This model is a fine-tuned version of [roberta-large](https://huggingface.c... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-few-shot-k-1024-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/roberta-large-few-shot-k-1024-finetuned-squad-seed-2 | null | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T22:11:05+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us
|
# roberta-large-few-shot-k-1024-finetuned-squad-seed-2
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
"# roberta-large-few-shot-k-1024-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us \n",
"# roberta-large-few-shot-k-1024-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMor... |
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. -->
# splinter-large-few-shot-k-1024-finetuned-squad-seed-2
This model is a fine-tuned version of [tau/splinter-large-qass](https://hu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-1024-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-1024-finetuned-squad-seed-2 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T22:11:15+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-1024-finetuned-squad-seed-2
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
"# splinter-large-few-shot-k-1024-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-1024-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model... |
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-large-few-shot-k-1024-finetuned-squad-seed-4
This model is a fine-tuned version of [roberta-large](https://huggingface.c... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-few-shot-k-1024-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/roberta-large-few-shot-k-1024-finetuned-squad-seed-4 | null | [
"transformers",
"pytorch",
"roberta",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T22:32:52+00:00 | [] | [] | TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us
|
# roberta-large-few-shot-k-1024-finetuned-squad-seed-4
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
#... | [
"# roberta-large-few-shot-k-1024-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
... | [
"TAGS\n#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-squad #license-mit #endpoints_compatible #region-us \n",
"# roberta-large-few-shot-k-1024-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMor... |
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. -->
# splinter-large-few-shot-k-1024-finetuned-squad-seed-4
This model is a fine-tuned version of [tau/splinter-large-qass](https://hu... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-1024-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-1024-finetuned-squad-seed-4 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T22:32:56+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-1024-finetuned-squad-seed-4
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training p... | [
"# splinter-large-few-shot-k-1024-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-1024-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | brresnic/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-14T22:57:20+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
image-classification | transformers |
# electric
Autogenerated by HuggingPics🤗🖼️
Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb).
Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics... | {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | smc/electric | null | [
"transformers",
"pytorch",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T23:13:48+00:00 | [] | [] | TAGS
#transformers #pytorch #vit #image-classification #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us
|
# electric
Autogenerated by HuggingPics️
Create your own image classifier for anything by running the demo on Google Colab.
Report any issues with the demo at the github repo.
## Example Images | [
"# electric\n\n\nAutogenerated by HuggingPics️\n\nCreate your own image classifier for anything by running the demo on Google Colab.\n\nReport any issues with the demo at the github repo.",
"## Example Images"
] | [
"TAGS\n#transformers #pytorch #vit #image-classification #huggingpics #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"# electric\n\n\nAutogenerated by HuggingPics️\n\nCreate your own image classifier for anything by running the demo on Google Colab.\n\nReport any issues with the demo at ... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **CarRacing-v0**
This is a trained model of a **PPO** agent playing **CarRacing-v0** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["CarRacing-v0", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CarRacing-v0", "type": "CarRacing-... | Alian3785/TEST2ppo-CarRacing-v0 | null | [
"stable-baselines3",
"CarRacing-v0",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-14T23:16:01+00:00 | [] | [] | TAGS
#stable-baselines3 #CarRacing-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing CarRacing-v0
This is a trained model of a PPO agent playing CarRacing-v0 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing CarRacing-v0\n This is a trained model of a PPO agent playing CarRacing-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #CarRacing-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing CarRacing-v0\n This is a trained model of a PPO agent playing CarRacing-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your... |
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. -->
# splinter-large-few-shot-k-512-finetuned-squad-seed-4
This model is a fine-tuned version of [tau/splinter-large-qass](https://hug... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-few-shot-k-512-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/splinter-large-few-shot-k-512-finetuned-squad-seed-4 | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-14T23:45:41+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-few-shot-k-512-finetuned-squad-seed-4
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training pr... | [
"# splinter-large-few-shot-k-512-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-few-shot-k-512-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model ... |
image-classification | transformers |
Find whether an electric pole has a transformer or not
| {"tags": ["image-classification", "pytorch", "huggingpics"], "metrics": ["accuracy"]} | smc/electric_2 | null | [
"transformers",
"pytorch",
"tensorboard",
"vit",
"image-classification",
"huggingpics",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"region:us"
] | null | 2022-05-14T23:56:43+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #vit #image-classification #huggingpics #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us
|
Find whether an electric pole has a transformer or not
| [] | [
"TAGS\n#transformers #pytorch #tensorboard #vit #image-classification #huggingpics #model-index #autotrain_compatible #endpoints_compatible #has_space #region-us \n"
] |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-0
This model is a fine-tuned version of [roberta-large](https://hugging... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-0 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T00:09:24+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-0
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
"# roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information need... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore inf... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-2
This model is a fine-tuned version of [roberta-large](https://hugging... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-2 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T00:29:30+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-2
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
"# roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information need... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore inf... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-4
This model is a fine-tuned version of [roberta-large](https://hugging... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-4 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T00:32:20+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-4
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
"# roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information need... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-16-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore inf... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-0
This model is a fine-tuned version of [roberta-large](https://hugging... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-0 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T00:35:11+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-0
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
"# roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information need... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore inf... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-2
This model is a fine-tuned version of [roberta-large](https://hugging... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-2 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T00:38:59+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-2
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
"# roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information need... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore inf... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-4
This model is a fine-tuned version of [roberta-large](https://hugging... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-4 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T00:42:25+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-4
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
"# roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information need... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore inf... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-0
This model is a fine-tuned version of [roberta-large](https://hugging... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-0 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T00:45:58+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-0
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
"# roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information need... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore inf... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-2
This model is a fine-tuned version of [roberta-large](https://hugging... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-2 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T00:49:11+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-2
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
"# roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information need... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore inf... |
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. -->
# t5-small-finetuned-xsum
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["xsum"], "model-index": [{"name": "t5-small-finetuned-xsum", "results": []}]} | menglingbei/t5-small-finetuned-xsum | null | [
"transformers",
"pytorch",
"tensorboard",
"t5",
"text2text-generation",
"generated_from_trainer",
"dataset:xsum",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-05-15T00:59:39+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-xsum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# t5-small-finetuned-xsum
This model is a fine-tuned version of t5-small on the xsum dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The fo... | [
"# t5-small-finetuned-xsum\n\nThis model is a fine-tuned version of t5-small on the xsum dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training procedure",
"### Tr... | [
"TAGS\n#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #dataset-xsum #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# t5-small-finetuned-xsum\n\nThis model is a fine-tuned version of t5-small on the xsum dataset.",
... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-4
This model is a fine-tuned version of [roberta-large](https://hugging... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-4 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T02:02:20+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-4
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proced... | [
"# roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information need... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-64-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore inf... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-0
This model is a fine-tuned version of [roberta-large](https://huggin... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-0 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T02:10:02+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-0
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
"# roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore in... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-2
This model is a fine-tuned version of [roberta-large](https://huggin... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-2 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T02:17:45+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-2
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
"# roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore in... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-4
This model is a fine-tuned version of [roberta-large](https://huggin... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-4 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T03:33:57+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-4
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
"# roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-128-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore in... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-0
This model is a fine-tuned version of [roberta-large](https://huggin... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-0 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T03:38:07+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-0
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
"# roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore in... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-2
This model is a fine-tuned version of [roberta-large](https://huggin... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-2 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T03:42:51+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-2
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
"# roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore in... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-4
This model is a fine-tuned version of [roberta-large](https://huggin... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-4 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T03:47:24+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-4
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
"# roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-256-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore in... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-0
This model is a fine-tuned version of [roberta-large](https://huggin... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-0 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T03:52:31+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-0
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
"# roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore in... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-2
This model is a fine-tuned version of [roberta-large](https://huggin... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-2 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T04:02:33+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-2
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
"# roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore in... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | robert1003/LunarLander-v2-ppo | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T04:03:44+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-4
This model is a fine-tuned version of [roberta-large](https://huggin... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-4 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T04:12:28+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-4
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proce... | [
"# roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information nee... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-512-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore in... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# Metformin/BART_medFineTune
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "Metformin/BART_medFineTune", "results": []}]} | Metformin/BART_medFineTune | null | [
"transformers",
"tf",
"bart",
"text2text-generation",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T04:39:34+00:00 | [] | [] | TAGS
#transformers #tf #bart #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| Metformin/BART\_medFineTune
===========================
This model is a fine-tuned version of facebook/bart-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.7982
* Validation Loss: 0.9953
* Epoch: 29
Model description
-----------------
More information needed
... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': {'class\\_name': 'WarmUp', 'config': {'initial\\_learning\\_rate': 1e-05, 'decay\\_schedule\\_fn': {'class\\_name': 'PolynomialDecay', 'config': {'initial\\_le... | [
"TAGS\n#transformers #tf #bart #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_... |
text2text-generation | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# adeebt/opus-mt-en-ROMANCE-finetuned-en-to-ro
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ROMANCE](https://huggingfa... | {"license": "apache-2.0", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "adeebt/opus-mt-en-ROMANCE-finetuned-en-to-ro", "results": []}]} | adeebt/opus-mt-en-ROMANCE-finetuned-en-to-ro | null | [
"transformers",
"tf",
"tensorboard",
"marian",
"text2text-generation",
"generated_from_keras_callback",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T05:21:18+00:00 | [] | [] | TAGS
#transformers #tf #tensorboard #marian #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| adeebt/opus-mt-en-ROMANCE-finetuned-en-to-ro
============================================
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-ROMANCE on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.6202
* Validation Loss: 1.2497
* Train Bleu: 25.1980
* Train... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay', 'learning\\_rate': 2e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\\_decay\\_rate': 0.01}\n* training\\_precision: float32",
... | [
"TAGS\n#transformers #tf #tensorboard #marian #text2text-generation #generated_from_keras_callback #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'AdamWeightDecay... |
feature-extraction | sentence-transformers |
# all-mpnet-base-v2
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 clustering or semantic search.
## Usage (Sentence-Transformers)
Using this model becomes easy when you have [sentence-transformers]... | {"language": "en", "license": "apache-2.0", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity"], "pipeline_tag": "feature-extraction"} | questgen/all-mpnet-base-v2-feature-extraction-pipeline | null | [
"sentence-transformers",
"pytorch",
"mpnet",
"feature-extraction",
"sentence-similarity",
"en",
"arxiv:1904.06472",
"arxiv:2102.07033",
"arxiv:2104.08727",
"arxiv:1704.05179",
"arxiv:1810.09305",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T05:25:37+00:00 | [
"1904.06472",
"2102.07033",
"2104.08727",
"1704.05179",
"1810.09305"
] | [
"en"
] | TAGS
#sentence-transformers #pytorch #mpnet #feature-extraction #sentence-similarity #en #arxiv-1904.06472 #arxiv-2102.07033 #arxiv-2104.08727 #arxiv-1704.05179 #arxiv-1810.09305 #license-apache-2.0 #endpoints_compatible #region-us
| all-mpnet-base-v2
=================
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Usage (Sentence-Transformers)
-----------------------------
Using this model becomes easy when you have se... | [
"### Pre-training\n\n\nWe use the pretrained 'microsoft/mpnet-base' model. Please refer to the model card for more detailed information about the pre-training procedure.",
"### Fine-tuning\n\n\nWe fine-tune the model using a contrastive objective. Formally, we compute the cosine similarity from each possible sent... | [
"TAGS\n#sentence-transformers #pytorch #mpnet #feature-extraction #sentence-similarity #en #arxiv-1904.06472 #arxiv-2102.07033 #arxiv-2104.08727 #arxiv-1704.05179 #arxiv-1810.09305 #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Pre-training\n\n\nWe use the pretrained 'microsoft/mpnet-base' model. ... |
text2text-generation | transformers |
# Maeve - XSUM
Maeve is a language model that is similar to BART in structure but trained specially using a CAT (Conditionally Adversarial Transformer).
This allows the model to learn to create long-form text from short entries with high degrees of control and coherence that are impossible to achieve with traditiona... | {"language": ["en"], "license": "gpl-3.0", "tags": ["text2text-generation", "pytorch"], "datasets": ["xsum"], "widget": [{"text": "President Biden met with Russia's Putin over the weekend to discuss a ceasefire in Ukraine.", "example_title": "Ukrainian Ceasefire"}, {"text": "Acme Ventures recently led a seed round to p... | cuuupid/maeve-12-6-xsum | null | [
"transformers",
"pytorch",
"bart",
"text2text-generation",
"en",
"dataset:xsum",
"license:gpl-3.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T05:26:17+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #bart #text2text-generation #en #dataset-xsum #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #region-us
|
# Maeve - XSUM
Maeve is a language model that is similar to BART in structure but trained specially using a CAT (Conditionally Adversarial Transformer).
This allows the model to learn to create long-form text from short entries with high degrees of control and coherence that are impossible to achieve with traditiona... | [
"# Maeve - XSUM\n\nMaeve is a language model that is similar to BART in structure but trained specially using a CAT (Conditionally Adversarial Transformer).\n\nThis allows the model to learn to create long-form text from short entries with high degrees of control and coherence that are impossible to achieve with tr... | [
"TAGS\n#transformers #pytorch #bart #text2text-generation #en #dataset-xsum #license-gpl-3.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"# Maeve - XSUM\n\nMaeve is a language model that is similar to BART in structure but trained specially using a CAT (Conditionally Adversarial Transformer).\n\nT... |
text-generation | transformers |
# Harry Potter DialoGPT Model | {"tags": ["conversational"]} | fatirali/DialoGPT-medium-harrypotter | null | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-05-15T05:59:31+00:00 | [] | [] | TAGS
#transformers #pytorch #gpt2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Harry Potter DialoGPT Model | [
"# Harry Potter DialoGPT Model"
] | [
"TAGS\n#transformers #pytorch #gpt2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Harry Potter DialoGPT Model"
] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **CarRacing-v0**
This is a trained model of a **PPO** agent playing **CarRacing-v0** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["CarRacing-v0", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CarRacing-v0", "type": "CarRacing-... | meln1k/ppo-CarRacing-v0 | null | [
"stable-baselines3",
"CarRacing-v0",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T06:19:11+00:00 | [] | [] | TAGS
#stable-baselines3 #CarRacing-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing CarRacing-v0
This is a trained model of a PPO agent playing CarRacing-v0 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing CarRacing-v0\n This is a trained model of a PPO agent playing CarRacing-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #CarRacing-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing CarRacing-v0\n This is a trained model of a PPO agent playing CarRacing-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **CarRacing-v0**
This is a trained model of a **PPO** agent playing **CarRacing-v0** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["CarRacing-v0", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CarRacing-v0", "type": "CarRacing-... | meln1k/ppo-CarRacing-v0-v1 | null | [
"stable-baselines3",
"CarRacing-v0",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T06:32:54+00:00 | [] | [] | TAGS
#stable-baselines3 #CarRacing-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing CarRacing-v0
This is a trained model of a PPO agent playing CarRacing-v0 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing CarRacing-v0\n This is a trained model of a PPO agent playing CarRacing-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #CarRacing-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing CarRacing-v0\n This is a trained model of a PPO agent playing CarRacing-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your... |
multiple-choice | 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-base-bne-finetuned-recores
This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "roberta-base-bne-finetuned-recores", "results": []}]} | nandezgarcia/roberta-base-bne-finetuned-recores | null | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"multiple-choice",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T06:43:23+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #roberta #multiple-choice #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us
| roberta-base-bne-finetuned-recores
==================================
This model is a fine-tuned version of PlanTL-GOB-ES/roberta-base-bne on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 3.1113
* Accuracy: 0.4601
Model description
-----------------
More information needed... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 1\n* eval\\_batch\\_size: 1\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",
"### Training... | [
"TAGS\n#transformers #pytorch #tensorboard #roberta #multiple-choice #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 1e-05\n* train\\_batch\\_size: 1\n* eval\\_batc... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-0
This model is a fine-tuned version of [roberta-large](https://huggi... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-0", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-0 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T06:51:20+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-0
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
"# roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ne... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-0\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore i... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-2
This model is a fine-tuned version of [roberta-large](https://huggi... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-2", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-2 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T06:59:22+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-2
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
"# roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ne... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-2\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore i... |
null | null |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-4
This model is a fine-tuned version of [roberta-large](https://huggi... | {"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-4", "results": []}]} | anas-awadalla/roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-4 | null | [
"generated_from_trainer",
"dataset:squad",
"license:mit",
"region:us"
] | null | 2022-05-15T07:06:32+00:00 | [] | [] | TAGS
#generated_from_trainer #dataset-squad #license-mit #region-us
|
# roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-4
This model is a fine-tuned version of roberta-large on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training proc... | [
"# roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information ne... | [
"TAGS\n#generated_from_trainer #dataset-squad #license-mit #region-us \n",
"# roberta-large-houlsby-few-shot-k-1024-finetuned-squad-seed-4\n\nThis model is a fine-tuned version of roberta-large on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore i... |
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. -->
# splinter-large-finetuned-squad
This model is a fine-tuned version of [tau/splinter-large-qass](https://huggingface.co/tau/splint... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-large-finetuned-squad", "results": []}]} | anas-awadalla/splinter-large-finetuned-squad | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T07:20:49+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-large-finetuned-squad
This model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training ... | [
"# splinter-large-finetuned-squad\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Trainin... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-large-finetuned-squad\n\nThis model is a fine-tuned version of tau/splinter-large-qass on the squad dataset.",
"## Model description\n\nMore in... |
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. -->
# hkp24
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the squ... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "hkp24", "results": []}]} | harikp20/hkp24 | null | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T07:30:36+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #distilbert #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
| hkp24
=====
This model is a fine-tuned version of distilbert-base-uncased on the squad dataset.
It achieves the following results on the evaluation set:
* Loss: 1.1619
Model description
-----------------
More information needed
Intended uses & limitations
---------------------------
More information needed
... | [
"### 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: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3",
"### Traini... | [
"TAGS\n#transformers #pytorch #tensorboard #distilbert #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_s... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | zoonek/TEST2ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T07:36:55+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
token-classification | transformers |
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 869827677
- CO2 Emissions (in grams): 4.365496441173981
## Validation Metrics
- Loss: 0.894961416721344
- Accuracy: 0.7411180773249739
- Precision: 0.590625
- Recall: 0.5080645161290323
- F1: 0.546242774566474
## Usage
You can use cURL ... | {"language": "unk", "tags": "autotrain", "datasets": ["pujaburman30/autotrain-data-hi_ner_xlmr"], "widget": [{"text": "I love AutoTrain \ud83e\udd17"}], "co2_eq_emissions": 4.365496441173981} | pujaburman30/autotrain-hi_ner_xlmr-869827677 | null | [
"transformers",
"pytorch",
"xlm-roberta",
"token-classification",
"autotrain",
"unk",
"dataset:pujaburman30/autotrain-data-hi_ner_xlmr",
"co2_eq_emissions",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T07:56:46+00:00 | [] | [
"unk"
] | TAGS
#transformers #pytorch #xlm-roberta #token-classification #autotrain #unk #dataset-pujaburman30/autotrain-data-hi_ner_xlmr #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us
|
# Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 869827677
- CO2 Emissions (in grams): 4.365496441173981
## Validation Metrics
- Loss: 0.894961416721344
- Accuracy: 0.7411180773249739
- Precision: 0.590625
- Recall: 0.5080645161290323
- F1: 0.546242774566474
## Usage
You can use cURL ... | [
"# Model Trained Using AutoTrain\n\n- Problem type: Entity Extraction\n- Model ID: 869827677\n- CO2 Emissions (in grams): 4.365496441173981",
"## Validation Metrics\n\n- Loss: 0.894961416721344\n- Accuracy: 0.7411180773249739\n- Precision: 0.590625\n- Recall: 0.5080645161290323\n- F1: 0.546242774566474",
"## Us... | [
"TAGS\n#transformers #pytorch #xlm-roberta #token-classification #autotrain #unk #dataset-pujaburman30/autotrain-data-hi_ner_xlmr #co2_eq_emissions #autotrain_compatible #endpoints_compatible #region-us \n",
"# Model Trained Using AutoTrain\n\n- Problem type: Entity Extraction\n- Model ID: 869827677\n- CO2 Emissi... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **MountainCar-v0**
This is a trained model of a **PPO** agent playing **MountainCar-v0** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["MountainCar-v0", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "MountainCar-v0", "type": "Mounta... | esh/MountainCar-v0 | null | [
"stable-baselines3",
"MountainCar-v0",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T08:10:58+00:00 | [] | [] | TAGS
#stable-baselines3 #MountainCar-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing MountainCar-v0
This is a trained model of a PPO agent playing MountainCar-v0 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing MountainCar-v0\n This is a trained model of a PPO agent playing MountainCar-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #MountainCar-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing MountainCar-v0\n This is a trained model of a PPO agent playing MountainCar-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | atsanda/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T08:27:35+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
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. -->
# ai-light-dance_singing_ft_wav2vec2-large-lv60
This model is a fine-tuned version of [facebook/wav2vec2-large-lv60](https://huggi... | {"license": "apache-2.0", "tags": ["automatic-speech-recognition", "AI_Light_Dance.py", "generated_from_trainer"], "datasets": ["ai_light_dance"], "model-index": [{"name": "ai-light-dance_singing_ft_wav2vec2-large-lv60", "results": []}]} | gary109/ai-light-dance_singing_ft_wav2vec2-large-lv60 | null | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"AI_Light_Dance.py",
"generated_from_trainer",
"dataset:ai_light_dance",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T08:38:41+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #AI_Light_Dance.py #generated_from_trainer #dataset-ai_light_dance #license-apache-2.0 #endpoints_compatible #region-us
| ai-light-dance\_singing\_ft\_wav2vec2-large-lv60
================================================
This model is a fine-tuned version of facebook/wav2vec2-large-lv60 on the AI\_LIGHT\_DANCE.PY - ONSET-SINGING dataset.
It achieves the following results on the evaluation set:
* Loss: 0.4542
* Wer: 0.2088
Model descr... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 3e-05\n* train\\_batch\\_size: 4\n* eval\\_batch\\_size: 4\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 #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #AI_Light_Dance.py #generated_from_trainer #dataset-ai_light_dance #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learnin... |
text2text-generation | transformers | Based on Finnish pretrained T5 model version small-nl24
Train data:
Around 300k samples from from following datasets
- [wikipedia](https://huggingface.co/datasets/wikipedia)
- [Yle Finnish News Archive 2011-2018](http://urn.fi/urn:nbn:fi:lb-2017070501)
- [Yle Finnish News Archive 2019-2020](http://urn.fi/urn:nbn:fi... | {} | Finnish-NLP/t5-small-nl24-casing-punctuation-correction | null | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"autotrain_compatible",
"endpoints_compatible",
"has_space",
"text-generation-inference",
"region:us"
] | null | 2022-05-15T08:52:53+00:00 | [] | [] | TAGS
#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us
| Based on Finnish pretrained T5 model version small-nl24
Train data:
Around 300k samples from from following datasets
- wikipedia
- Yle Finnish News Archive 2011-2018
- Yle Finnish News Archive 2019-2020
- Finnish News Agency Archive (STT)
- The Suomi24 Sentences Corpus
Tested with 1000 samples from the previous ... | [] | [
"TAGS\n#transformers #pytorch #t5 #text2text-generation #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us \n"
] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **CartPole-v1**
This is a trained model of a **PPO** agent playing **CartPole-v1** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["CartPole-v1", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CartPole-v1", "type": "CartPole-v1"... | FumaNet/TEST1PPO-CartPole-v1 | null | [
"stable-baselines3",
"CartPole-v1",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T09:23:40+00:00 | [] | [] | TAGS
#stable-baselines3 #CartPole-v1 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing CartPole-v1
This is a trained model of a PPO agent playing CartPole-v1 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing CartPole-v1\n This is a trained model of a PPO agent playing CartPole-v1 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #CartPole-v1 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing CartPole-v1\n This is a trained model of a PPO agent playing CartPole-v1 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your co... |
null | null | this model is for Weibo comment sentiment analysis | {"license": "afl-3.0"} | ZaynSu99/weibo_senti_cls | null | [
"license:afl-3.0",
"region:us"
] | null | 2022-05-15T09:31:02+00:00 | [] | [] | TAGS
#license-afl-3.0 #region-us
| this model is for Weibo comment sentiment analysis | [] | [
"TAGS\n#license-afl-3.0 #region-us \n"
] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | unfinity/PPO-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T09:33:12+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **CarRacing-v0**
This is a trained model of a **PPO** agent playing **CarRacing-v0** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["CarRacing-v0", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "CarRacing-v0", "type": "CarRacing-... | FumaNet/TEST1PPO-CarRacing-v0 | null | [
"stable-baselines3",
"CarRacing-v0",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T09:39:23+00:00 | [] | [] | TAGS
#stable-baselines3 #CarRacing-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing CarRacing-v0
This is a trained model of a PPO agent playing CarRacing-v0 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing CarRacing-v0\n This is a trained model of a PPO agent playing CarRacing-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #CarRacing-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing CarRacing-v0\n This is a trained model of a PPO agent playing CarRacing-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | olokshyn/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T09:42:28+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-mrpc
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/di... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "distilbert-base-uncased-finetuned-mrpc", "results": []}]} | anuj55/distilbert-base-uncased-finetuned-mrpc | null | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T09:42:37+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-mrpc
======================================
This model is a fine-tuned version of distilbert-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.5682
* Accuracy: 0.7164
* F1: 0.2022
Model description
-----------------
More inform... | [
"### 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: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 20",
"### Train... | [
"TAGS\n#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_b... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **MountainCar-v0**
This is a trained model of a **PPO** agent playing **MountainCar-v0** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["MountainCar-v0", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "MountainCar-v0", "type": "Mounta... | FumaNet/TEST1PPO-MountainCar-v0 | null | [
"stable-baselines3",
"MountainCar-v0",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T09:47:58+00:00 | [] | [] | TAGS
#stable-baselines3 #MountainCar-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing MountainCar-v0
This is a trained model of a PPO agent playing MountainCar-v0 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing MountainCar-v0\n This is a trained model of a PPO agent playing MountainCar-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #MountainCar-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing MountainCar-v0\n This is a trained model of a PPO agent playing MountainCar-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# FYP2022
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves t... | {"license": "mit", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "FYP2022", "results": []}]} | edwin923/FYP2022 | null | [
"transformers",
"tf",
"roberta",
"text-classification",
"generated_from_keras_callback",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T09:52:32+00:00 | [] | [] | TAGS
#transformers #tf #roberta #text-classification #generated_from_keras_callback #license-mit #autotrain_compatible #endpoints_compatible #region-us
| FYP2022
=======
This model is a fine-tuned version of roberta-base on an unknown dataset.
It achieves the following results on the evaluation set:
* Train Loss: 0.6016
* Train Sparse Categorical Accuracy: 0.7503
* Train Sparse Top 3 Categorical Accuracy: 0.9901
* Epoch: 5
Model description
-----------------
Mor... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'clipnorm': 1.0, 'learning\\_rate': 1e-05, 'decay': 0.0, 'beta\\_1': 0.9, 'beta\\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}\n* training\\_precision: float32",
"### Training results",... | [
"TAGS\n#transformers #tf #roberta #text-classification #generated_from_keras_callback #license-mit #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* optimizer: {'name': 'Adam', 'clipnorm': 1.0, 'learning\\... |
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. -->
# splinter-base-finetuned-squad
This model is a fine-tuned version of [tau/splinter-base-qass](https://huggingface.co/tau/splinter... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["squad"], "model-index": [{"name": "splinter-base-finetuned-squad", "results": []}]} | anas-awadalla/splinter-base-finetuned-squad | null | [
"transformers",
"pytorch",
"splinter",
"question-answering",
"generated_from_trainer",
"dataset:squad",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T09:55:15+00:00 | [] | [] | TAGS
#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us
|
# splinter-base-finetuned-squad
This model is a fine-tuned version of tau/splinter-base-qass on the squad dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hy... | [
"# splinter-base-finetuned-squad\n\nThis model is a fine-tuned version of tau/splinter-base-qass on the squad dataset.",
"## Model description\n\nMore information needed",
"## Intended uses & limitations\n\nMore information needed",
"## Training and evaluation data\n\nMore information needed",
"## Training ... | [
"TAGS\n#transformers #pytorch #splinter #question-answering #generated_from_trainer #dataset-squad #license-apache-2.0 #endpoints_compatible #region-us \n",
"# splinter-base-finetuned-squad\n\nThis model is a fine-tuned version of tau/splinter-base-qass on the squad dataset.",
"## Model description\n\nMore info... |
text-generation | transformers |
# Batman DialoGPT Model | {"tags": ["conversational"]} | TejasARathod/DialoGPT-medium-BatmanBot | null | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-05-15T10:10:44+00:00 | [] | [] | TAGS
#transformers #pytorch #gpt2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
# Batman DialoGPT Model | [
"# Batman DialoGPT Model"
] | [
"TAGS\n#transformers #pytorch #gpt2 #text-generation #conversational #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"# Batman DialoGPT Model"
] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **BipedalWalker-v3**
This is a trained model of a **PPO** agent playing **BipedalWalker-v3** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["BipedalWalker-v3", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "BipedalWalker-v3", "type": "Bi... | meln1k/ppo-BipedalWalker-v3 | null | [
"stable-baselines3",
"BipedalWalker-v3",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T10:11:23+00:00 | [] | [] | TAGS
#stable-baselines3 #BipedalWalker-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing BipedalWalker-v3
This is a trained model of a PPO agent playing BipedalWalker-v3 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing BipedalWalker-v3\n This is a trained model of a PPO agent playing BipedalWalker-v3 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #BipedalWalker-v3 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing BipedalWalker-v3\n This is a trained model of a PPO agent playing BipedalWalker-v3 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TO... |
null | null |
# FFHQ Autoencoder
An autoencoder train on the **F**lickr-**F**aces-**HQ** Dataset with 16 latent dimensions for 1000 epochs. **Note:** The images trained on were 128x128.
It was meant for the [Latent Space Explorer](https://github.com/NikiTricky2/Latent-space-vizualizer) | {"license": "apache-2.0"} | NikiTricky/ffhq-autoencoder-16dim | null | [
"license:apache-2.0",
"region:us"
] | null | 2022-05-15T10:29:08+00:00 | [] | [] | TAGS
#license-apache-2.0 #region-us
|
# FFHQ Autoencoder
An autoencoder train on the Flickr-Faces-HQ Dataset with 16 latent dimensions for 1000 epochs. Note: The images trained on were 128x128.
It was meant for the Latent Space Explorer | [
"# FFHQ Autoencoder\n\nAn autoencoder train on the Flickr-Faces-HQ Dataset with 16 latent dimensions for 1000 epochs. Note: The images trained on were 128x128.\n\nIt was meant for the Latent Space Explorer"
] | [
"TAGS\n#license-apache-2.0 #region-us \n",
"# FFHQ Autoencoder\n\nAn autoencoder train on the Flickr-Faces-HQ Dataset with 16 latent dimensions for 1000 epochs. Note: The images trained on were 128x128.\n\nIt was meant for the Latent Space Explorer"
] |
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. -->
# distilgpt2-finetuned-negative-restaurant-reviews-clean
This model is a fine-tuned version of [distilgpt2](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "distilgpt2-finetuned-negative-restaurant-reviews-clean", "results": []}]} | Zohar/distilgpt2-finetuned-negative-restaurant-reviews-clean | null | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"generated_from_trainer",
"license:apache-2.0",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-05-15T10:47:04+00:00 | [] | [] | TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
| distilgpt2-finetuned-negative-restaurant-reviews-clean
======================================================
This model is a fine-tuned version of distilgpt2 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 3.5187
Model description
-----------------
More information needed
... | [
"### 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: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 3.0",
"### Trai... | [
"TAGS\n#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train... |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **MountainCar-v0**
This is a trained model of a **DQN** agent playing **MountainCar-v0** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["MountainCar-v0", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "MountainCar-v0", "type": "Mounta... | FollishBoi/dqn-MountainCar-v0-try1 | null | [
"stable-baselines3",
"MountainCar-v0",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T10:59:45+00:00 | [] | [] | TAGS
#stable-baselines3 #MountainCar-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing MountainCar-v0
This is a trained model of a DQN agent playing MountainCar-v0 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# DQN Agent playing MountainCar-v0\n This is a trained model of a DQN agent playing MountainCar-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #MountainCar-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing MountainCar-v0\n This is a trained model of a DQN agent playing MountainCar-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **MountainCar-v0**
This is a trained model of a **DQN** agent playing **MountainCar-v0** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["MountainCar-v0", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "MountainCar-v0", "type": "Mounta... | FollishBoi/dqn-MountainCar-v0-try2 | null | [
"stable-baselines3",
"MountainCar-v0",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T11:00:30+00:00 | [] | [] | TAGS
#stable-baselines3 #MountainCar-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing MountainCar-v0
This is a trained model of a DQN agent playing MountainCar-v0 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# DQN Agent playing MountainCar-v0\n This is a trained model of a DQN agent playing MountainCar-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #MountainCar-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing MountainCar-v0\n This is a trained model of a DQN agent playing MountainCar-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
reinforcement-learning | stable-baselines3 |
# **DQN** Agent playing **MountainCar-v0**
This is a trained model of a **DQN** agent playing **MountainCar-v0** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["MountainCar-v0", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "DQN", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "MountainCar-v0", "type": "Mounta... | FollishBoi/dqn-MountainCar-v0-try3 | null | [
"stable-baselines3",
"MountainCar-v0",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T11:01:12+00:00 | [] | [] | TAGS
#stable-baselines3 #MountainCar-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# DQN Agent playing MountainCar-v0
This is a trained model of a DQN agent playing MountainCar-v0 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# DQN Agent playing MountainCar-v0\n This is a trained model of a DQN agent playing MountainCar-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #MountainCar-v0 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# DQN Agent playing MountainCar-v0\n This is a trained model of a DQN agent playing MountainCar-v0 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
text-generation | transformers |
<div class="inline-flex flex-col" style="line-height: 1.5;">
<div class="flex">
<div
style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/2348558617/x0vh6bui3sq97... | {"language": "en", "tags": ["huggingtweets"], "thumbnail": "https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true", "widget": [{"text": "My dream is"}]} | huggingtweets/medvedevrussia | null | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"huggingtweets",
"en",
"autotrain_compatible",
"endpoints_compatible",
"text-generation-inference",
"region:us"
] | null | 2022-05-15T11:26:21+00:00 | [] | [
"en"
] | TAGS
#transformers #pytorch #gpt2 #text-generation #huggingtweets #en #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us
|
AI BOT
Дмитрий Медведев
@medvedevrussia
I was made with huggingtweets.
Create your own bot based on your favorite user with the demo!
How does it work?
-----------------
The model uses the following pipeline.
!pipeline
To understand how the model was developed, check the W&B report.
Training data
... | [] | [
"TAGS\n#transformers #pytorch #gpt2 #text-generation #huggingtweets #en #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us \n"
] |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | WhatIsThisSignupForm/ppo-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T11:46:36+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | KrusHan/PPO-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T12:18:09+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
fill-mask | jax |
# Model Card
Following [1], the following constitutes a model for this model.
---
*Organization developing the Model*: The Danish Foundation Models project
*Model Creation Date*: June 2022
*Model Type*: Transformer encoder model [2]; BERT [3]
*Feedback on the Model*: For feedback on the model please use the [co... | {"language": "da", "license": "mit", "library_name": "jax", "datasets": ["netarkivet_text_v1", "danews_v1", "hopetwitter_v1", "DDSC/dagw_reddit_filtered_v1.0.0"], "pipeline_tag": "fill-mask"} | danish-foundation-models/encoder-medium-v1 | null | [
"jax",
"tensorboard",
"bert",
"fill-mask",
"da",
"dataset:netarkivet_text_v1",
"dataset:danews_v1",
"dataset:hopetwitter_v1",
"dataset:DDSC/dagw_reddit_filtered_v1.0.0",
"arxiv:1706.03762",
"arxiv:1810.04805",
"license:mit",
"region:us"
] | null | 2022-05-15T12:22:00+00:00 | [
"1706.03762",
"1810.04805"
] | [
"da"
] | TAGS
#jax #tensorboard #bert #fill-mask #da #dataset-netarkivet_text_v1 #dataset-danews_v1 #dataset-hopetwitter_v1 #dataset-DDSC/dagw_reddit_filtered_v1.0.0 #arxiv-1706.03762 #arxiv-1810.04805 #license-mit #region-us
|
# Model Card
Following [1], the following constitutes a model for this model.
---
*Organization developing the Model*: The Danish Foundation Models project
*Model Creation Date*: June 2022
*Model Type*: Transformer encoder model [2]; BERT [3]
*Feedback on the Model*: For feedback on the model please use the com... | [
"# Model Card\n\nFollowing [1], the following constitutes a model for this model.\n\n---\n\n*Organization developing the Model*: The Danish Foundation Models project\n\n*Model Creation Date*: June 2022\n\n*Model Type*: Transformer encoder model [2]; BERT [3]\n\n*Feedback on the Model*: For feedback on the model ple... | [
"TAGS\n#jax #tensorboard #bert #fill-mask #da #dataset-netarkivet_text_v1 #dataset-danews_v1 #dataset-hopetwitter_v1 #dataset-DDSC/dagw_reddit_filtered_v1.0.0 #arxiv-1706.03762 #arxiv-1810.04805 #license-mit #region-us \n",
"# Model Card\n\nFollowing [1], the following constitutes a model for this model.\n\n---\n... |
text-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-emotion
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["emotion"], "metrics": ["accuracy", "f1"], "model-index": [{"name": "distilbert-base-uncased-finetuned-emotion", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "emotion", "type": "emotion... | mertyrgn/distilbert-base-uncased-finetuned-emotion | null | [
"transformers",
"pytorch",
"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:emotion",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T12:40:01+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #dataset-emotion #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us
| distilbert-base-uncased-finetuned-emotion
=========================================
This model is a fine-tuned version of distilbert-base-uncased on the emotion dataset.
It achieves the following results on the evaluation set:
* Loss: 0.2064
* Accuracy: 0.9235
* F1: 0.9235
Model description
-----------------
Mo... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\n* train\\_batch\\_size: 64\n* eval\\_batch\\_size: 64\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
"TAGS\n#transformers #pytorch #tensorboard #distilbert #text-classification #generated_from_trainer #dataset-emotion #license-apache-2.0 #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learn... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# kt_punc
This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the chn_senti_cor... | {"tags": ["generated_from_trainer"], "datasets": ["chn_senti_corp"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "kt_punc", "results": [{"task": {"type": "token-classification", "name": "Token Classification"}, "dataset": {"name": "chn_senti_corp", "type": "chn_senti_corp", "args": "d... | kktoto/kt_punc | null | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"token-classification",
"generated_from_trainer",
"dataset:chn_senti_corp",
"model-index",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T12:47:21+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #bert #token-classification #generated_from_trainer #dataset-chn_senti_corp #model-index #autotrain_compatible #endpoints_compatible #region-us
| kt\_punc
========
This model is a fine-tuned version of bert-base-chinese on the chn\_senti\_corp dataset.
It achieves the following results on the evaluation set:
* Loss: 0.1703
* Precision: 0.7079
* Recall: 0.7314
* F1: 0.7194
* Accuracy: 0.9573
Model description
-----------------
More information needed
In... | [
"### 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: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 10",
"### Train... | [
"TAGS\n#transformers #pytorch #tensorboard #bert #token-classification #generated_from_trainer #dataset-chn_senti_corp #model-index #autotrain_compatible #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 2e-05\... |
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. -->
# wav2vec2-arabic-gpu-colab-similar-to-german-bigger-warm-up
This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-5... | {"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "wav2vec2-arabic-gpu-colab-similar-to-german-bigger-warm-up", "results": []}]} | ali-issa/FYP_ARABIC | null | [
"transformers",
"pytorch",
"tensorboard",
"wav2vec2",
"automatic-speech-recognition",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T13:10:23+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us
| wav2vec2-arabic-gpu-colab-similar-to-german-bigger-warm-up
==========================================================
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset.
It achieves the following results on the evaluation set:
* Loss: 0.6370
* Wer: 0.4146
Model description
-... | [
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 2\n* eval\\_batch\\_size: 8\n* seed: 42\n* gradient\\_accumulation\\_steps: 6\n* total\\_train\\_batch\\_size: 12\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=... | [
"TAGS\n#transformers #pytorch #tensorboard #wav2vec2 #automatic-speech-recognition #generated_from_trainer #license-apache-2.0 #endpoints_compatible #region-us \n",
"### Training hyperparameters\n\n\nThe following hyperparameters were used during training:\n\n\n* learning\\_rate: 0.0001\n* train\\_batch\\_size: 2... |
token-classification | transformers |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert-base-german-cased-finetuned-subj_preTrained_with_noisyData
This model is a fine-tuned version of [bert-base-german-cased](h... | {"license": "mit", "tags": ["generated_from_trainer"], "metrics": ["precision", "recall", "f1", "accuracy"], "model-index": [{"name": "bert-base-german-cased-finetuned-subj_preTrained_with_noisyData", "results": []}]} | tbosse/bert-base-german-cased-finetuned-subj_preTrained_with_noisyData | null | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"token-classification",
"generated_from_trainer",
"license:mit",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | null | 2022-05-15T13:21:40+00:00 | [] | [] | TAGS
#transformers #pytorch #tensorboard #bert #token-classification #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #region-us
| bert-base-german-cased-finetuned-subj\_preTrained\_with\_noisyData
==================================================================
This model is a fine-tuned version of bert-base-german-cased on an unknown dataset.
It achieves the following results on the evaluation set:
* Loss: 0.0192
* Precision: 0.9203
* Reca... | [
"### 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: 16\n* seed: 42\n* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08\n* lr\\_scheduler\\_type: linear\n* num\\_epochs: 2",
"### Traini... | [
"TAGS\n#transformers #pytorch #tensorboard #bert #token-classification #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #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:... |
reinforcement-learning | stable-baselines3 |
# **PPO** Agent playing **LunarLander-v2**
This is a trained model of a **PPO** agent playing **LunarLander-v2** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
## Usage (with Stable-baselines3)
TODO: Add your code
| {"library_name": "stable-baselines3", "tags": ["LunarLander-v2", "deep-reinforcement-learning", "reinforcement-learning", "stable-baselines3"], "model-index": [{"name": "PPO", "results": [{"task": {"type": "reinforcement-learning", "name": "reinforcement-learning"}, "dataset": {"name": "LunarLander-v2", "type": "LunarL... | umbertospazio/Test_PPO-LunarLander-v2 | null | [
"stable-baselines3",
"LunarLander-v2",
"deep-reinforcement-learning",
"reinforcement-learning",
"model-index",
"region:us"
] | null | 2022-05-15T13:28:21+00:00 | [] | [] | TAGS
#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us
|
# PPO Agent playing LunarLander-v2
This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.
## Usage (with Stable-baselines3)
TODO: Add your code
| [
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Add your code"
] | [
"TAGS\n#stable-baselines3 #LunarLander-v2 #deep-reinforcement-learning #reinforcement-learning #model-index #region-us \n",
"# PPO Agent playing LunarLander-v2\n This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.\n \n ## Usage (with Stable-baselines3)\n TODO: Ad... |
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