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621ffdc036468d709f1749dd | AnonymousSub/SR_rule_based_twostagetriplet_epochs_1_shard_1 | AnonymousSub | null | 10 | 605 | False | 2022-03-02T23:29:04Z | 2022-01-11T00:39:00Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749df | AnonymousSub/SR_specter | AnonymousSub | null | 8 | 615 | False | 2022-03-02T23:29:04Z | 2022-01-12T11:04:57Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749e0 | AnonymousSub/SciFive_pubmedqa_question_generation | AnonymousSub | null | 2 | 1,307 | False | 2022-03-02T23:29:04Z | 2022-01-06T12:17:14Z | transformers | 2 | 0 | null | null | null | [
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621ffdc036468d709f1749e4 | AnonymousSub/bert_hier_diff_equal_wts_epochs_1_shard_1 | AnonymousSub | null | 1 | 606 | False | 2022-03-02T23:29:04Z | 2021-12-22T16:55:55Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749e5 | AnonymousSub/bert_hier_diff_equal_wts_epochs_1_shard_10 | AnonymousSub | null | 1 | 562 | False | 2022-03-02T23:29:04Z | 2022-01-04T08:13:26Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749e6 | AnonymousSub/bert_mean_diff_epochs_1_shard_1 | AnonymousSub | null | 1 | 604 | False | 2022-03-02T23:29:04Z | 2021-12-22T16:54:18Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749e7 | AnonymousSub/bert_mean_diff_epochs_1_shard_10 | AnonymousSub | null | 1 | 555 | False | 2022-03-02T23:29:04Z | 2022-01-04T08:11:51Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749e9 | AnonymousSub/bert_triplet_epochs_1_shard_1 | AnonymousSub | null | 1 | 601 | False | 2022-03-02T23:29:04Z | 2021-12-22T16:55:05Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749ea | AnonymousSub/bert_triplet_epochs_1_shard_10 | AnonymousSub | null | 4 | 620 | False | 2022-03-02T23:29:04Z | 2022-01-04T08:12:39Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749ee | AnonymousSub/cline-papers-biomed-0.618 | AnonymousSub | null | 3 | 319 | False | 2022-03-02T23:29:04Z | 2021-10-26T03:45:42Z | transformers | 0 | 0 | null | null | null | [
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621ffdc036468d709f1749ef | AnonymousSub/cline-papers-roberta-0.585 | AnonymousSub | null | 3 | 335 | False | 2022-03-02T23:29:04Z | 2021-10-26T03:48:30Z | transformers | 0 | 0 | null | null | null | [
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621ffdc036468d709f1749fb | AnonymousSub/declutr-biomed-roberta-papers | AnonymousSub | null | 19 | 856 | False | 2022-03-02T23:29:04Z | 2021-10-25T03:42:14Z | transformers | 0 | 0 | null | fill-mask | null | [
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621ffdc036468d709f174a03 | AnonymousSub/declutr-roberta-papers | AnonymousSub | null | 14 | 1,075 | False | 2022-03-02T23:29:04Z | 2021-10-22T13:10:04Z | transformers | 0 | 0 | null | fill-mask | null | [
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621ffdc036468d709f174a07 | AnonymousSub/dummy_1 | AnonymousSub | null | 4 | 738 | False | 2022-03-02T23:29:04Z | 2021-11-03T04:54:19Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174a08 | AnonymousSub/dummy_2 | AnonymousSub | null | 2 | 885 | False | 2022-03-02T23:29:04Z | 2021-11-03T07:34:41Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174a09 | AnonymousSub/dummy_2_parent | AnonymousSub | null | 9 | 572 | False | 2022-03-02T23:29:04Z | 2021-11-03T05:47:57Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f174a5c | AnonymousSub/rule_based_twostage_quadruplet_epochs_1_shard_1 | AnonymousSub | null | 9 | 640 | False | 2022-03-02T23:29:04Z | 2022-01-10T21:11:03Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f174a5e | AnonymousSub/rule_based_twostagequadruplet_hier_epochs_1_shard_1 | AnonymousSub | null | 12 | 583 | False | 2022-03-02T23:29:04Z | 2022-01-10T21:09:40Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f174a60 | AnonymousSub/rule_based_twostagetriplet_epochs_1_shard_1 | AnonymousSub | null | 130 | 684 | False | 2022-03-02T23:29:04Z | 2022-01-10T21:10:20Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f174a62 | AnonymousSub/rule_based_twostagetriplet_hier_epochs_1_shard_1 | AnonymousSub | null | 126 | 691 | False | 2022-03-02T23:29:04Z | 2022-01-10T21:07:58Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f174a6e | AnonymousSub/unsup-consert-papers-bert | AnonymousSub | null | 9 | 512 | False | 2022-03-02T23:29:04Z | 2021-10-24T20:46:22Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f174a6f | AnonymousSub/unsup-consert-papers | AnonymousSub | null | 22 | 471 | False | 2022-03-02T23:29:04Z | 2021-10-25T00:23:51Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f174a8a | Anorak/nirvana | Anorak | null | 22 | 468 | False | 2022-03-02T23:29:04Z | 2021-10-17T15:48:15Z | transformers | 0 | 0 | null | null | null | [
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- Problem type: Summarization
- Model ID: 20384195
- CO2 Emissions (in grams): 4.214012748213151
## Validation Metrics
- Loss: 1.0120062828063965
- Rouge1: 41.1808
- Rouge2: 26.2564
- RougeL: 31.3106
- RougeLsum: 38.9991
- Gen Len: 58.45
## Usage
You can use cURL to access this model:... | null | null | [
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621ffdc036468d709f174ac0 | AnthonyNelson/DialoGPT-small-ricksanchez | AnthonyNelson | null | 2 | 859 | False | 2022-03-02T23:29:04Z | 2021-09-05T22:27:52Z | transformers | 1 | 0 | null | text-generation | null | [
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621ffdc036468d709f174ac1 | Anthos23/FS-distilroberta-fine-tuned | Anthos23 | null | 10 | 1,913 | False | 2022-03-02T23:29:04Z | 2022-03-04T13:00:00Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174ac2 | Anthos23/distilbert-base-uncased-finetuned-sst2 | Anthos23 | null | 5 | 619 | False | 2022-03-02T23:29:04Z | 2022-02-21T21:50:56Z | transformers | 0 | 0 | [{"name": "Anthos23/distilbert-base-uncased-finetuned-sst2", "results": []}] | text-classification | null | [
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# Anthos23/distilbert-base-uncased-finetuned-sst2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/... | null | [
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621ffdc036468d709f174ac3 | Anthos23/my-awesome-model | Anthos23 | null | 2 | 817 | False | 2022-03-02T23:29:04Z | 2022-02-23T11:09:10Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f174ad0 | Apisate/DialoGPT-small-jordan | Apisate | null | 4 | 921 | False | 2022-03-02T23:29:04Z | 2021-12-05T18:13:17Z | transformers | 0 | 0 | null | text-generation | null | [
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621ffdc036468d709f174ad1 | Apisate/Discord-Ai-Bot | Apisate | null | 13 | 1,285 | False | 2022-03-02T23:29:04Z | 2021-12-05T14:19:49Z | transformers | 2 | 0 | null | text-generation | null | [
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621ffdc036468d709f174ad3 | Apoorva/k2t-test | Apoorva | null | 5 | 659 | False | 2022-03-02T23:29:04Z | 2022-01-06T19:38:56Z | transformers | 0 | 0 | {"error": "Schema validation error. \"model-index[0].results\" is required"} | null | null | [
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621ffdc036468d709f174ad6 | ArBert/albert-base-v2-finetuned-ner-agglo-twitter | ArBert | null | 12 | 619 | False | 2022-03-02T23:29:04Z | 2022-02-12T09:09:50Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174ad7 | ArBert/albert-base-v2-finetuned-ner-agglo | ArBert | null | 11 | 653 | False | 2022-03-02T23:29:04Z | 2022-02-12T11:30:15Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174ad8 | ArBert/albert-base-v2-finetuned-ner-gmm-twitter | ArBert | null | 4 | 596 | False | 2022-03-02T23:29:04Z | 2022-02-12T09:26:34Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174ad9 | ArBert/albert-base-v2-finetuned-ner-gmm | ArBert | null | 7 | 610 | False | 2022-03-02T23:29:04Z | 2022-02-12T11:51:06Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174ada | ArBert/albert-base-v2-finetuned-ner-kmeans-twitter | ArBert | null | 6 | 673 | False | 2022-03-02T23:29:04Z | 2022-02-12T08:00:32Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174adb | ArBert/albert-base-v2-finetuned-ner-kmeans | ArBert | null | 9 | 673 | False | 2022-03-02T23:29:04Z | 2022-02-12T11:10:41Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f174adc | ArBert/albert-base-v2-finetuned-ner | ArBert | null | 15,912 | 103,667 | False | 2022-03-02T23:29:04Z | 2022-02-03T14:26:33Z | transformers | 4 | 0 | [{"name": "albert-base-v2-finetuned-ner", "results": [{"task": {"name": "Token Classification", "type": "token-classification"}, "dataset": {"name": "conll2003", "type": "conll2003", "args": "conll2003"}, "metrics": [{"name": "Precision", "type": "precision", "value": 0.9301181102362205, "verified": false}, {"name": "R... | token-classification | null | [
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should probably proofread and complete it, then remove this comment. -->
# albert-base-v2-finetuned-ner
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the... | null | [
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621ffdc036468d709f174ae0 | ArBert/bert-base-uncased-finetuned-ner-kmeans | ArBert | null | 5 | 638 | False | 2022-03-02T23:29:04Z | 2022-02-11T16:45:09Z | transformers | 0 | 0 | [{"name": "bert-base-uncased-finetuned-ner-kmeans", "results": []}] | token-classification | null | [
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} | {"base_model": null, "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["precision", "recall", "f1", "accuracy"], "model_name": "bert-base-uncased-finetuned-ner-kmeans", "pipeline_tag": null, "tags": ["generated_... | <!-- 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-uncased-finetuned-ner-kmeans
This model is a fine-tuned version of [ArBert/bert-base-uncased-finetuned-ner](https://hug... | null | [
"apache-2.0"
] | null | null | null | null | [
"precision",
"recall",
"f1",
"accuracy"
] | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174ae1 | ArBert/bert-base-uncased-finetuned-ner | ArBert | null | 7 | 752 | False | 2022-03-02T23:29:04Z | 2022-02-09T10:46:38Z | transformers | 0 | 0 | [{"name": "bert-base-uncased-finetuned-ner", "results": []}] | token-classification | null | [
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"runs/Feb09_09-40-02_61ab96e548b9/events.out.tfevents.1644399873.61ab96e548b9.81.0",
"special_tokens_map.json",
"tok... | 9994b81a86d4e0c1bb1f9a7c473fa1599d5261de | [
"transformers",
"pytorch",
"tensorboard",
"bert",
"token-classification",
"generated_from_trainer",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["BertForTokenClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForTokenClassification",
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"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["precision", "recall", "f1", "accuracy"], "model_name": "bert-base-uncased-finetuned-ner", "pipeline_tag": null, "tags": ["generated_from_tr... | <!-- 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-uncased-finetuned-ner
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncase... | null | [
"apache-2.0"
] | null | null | null | null | [
"precision",
"recall",
"f1",
"accuracy"
] | [
"AutoModelForTokenClassification",
"BertForTokenClassification",
"bert"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174ae2 | ArBert/roberta-base-finetuned-ner-agglo-twitter | ArBert | null | 9 | 653 | False | 2022-03-02T23:29:04Z | 2022-02-12T11:40:08Z | transformers | 0 | 0 | [{"name": "roberta-base-finetuned-ner-agglo-twitter", "results": []}] | token-classification | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"runs/Feb12_10-59-47_1cce938a2c27/1644663595.7532144/events.out.tfevents.1644663595.1cce938a2c27.84.3",
"runs/Feb12_10-59-47_1cce938a2c27/events.out.tfevents.1644663595.1cce938a2c27.84.2",
"special_tokens_... | 01a94157ee8409aa660d44dc216181a161725fe2 | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": ["precision", "recall", "f1"], "model_name": "roberta-base-finetuned-ner-agglo-twitter", "pipeline_tag": null, "tags": ["generated_from_trainer"]} | <!-- 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-finetuned-ner-agglo-twitter
This model is a fine-tuned version of [ArBert/roberta-base-finetuned-ner](https://huggin... | null | [
"mit"
] | null | null | null | null | [
"precision",
"recall",
"f1"
] | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174ae6 | ArBert/roberta-base-finetuned-ner-kmeans-twitter | ArBert | null | 7 | 627 | False | 2022-03-02T23:29:04Z | 2022-02-12T12:53:00Z | transformers | 0 | 0 | [{"name": "roberta-base-finetuned-ner-kmeans-twitter", "results": []}] | token-classification | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"runs/Feb12_11-42-17_1cce938a2c27/1644666173.9857342/events.out.tfevents.1644666173.1cce938a2c27.84.5",
"runs/Feb12_11-42-17_1cce938a2c27/events.out.tfevents.1644666173.1cce938a2c27.84.4",
"runs/Feb12_12-4... | eede78cacf892879f008da686402d81d549d1669 | [
"transformers",
"pytorch",
"tensorboard",
"roberta",
"token-classification",
"generated_from_trainer",
"license:mit",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>"}} | {
"auto_model": "AutoModelForTokenClassification",
"custom_class": null,
"pipeline_tag": "token-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": [], "language": null, "library_name": null, "license": "mit", "license_name": null, "license_link": null, "metrics": ["precision", "recall", "f1"], "model_name": "roberta-base-finetuned-ner-kmeans-twitter", "pipeline_tag": null, "tags": ["generated_from_trainer"]} | <!-- 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-finetuned-ner-kmeans-twitter
This model is a fine-tuned version of [ArBert/roberta-base-finetuned-ner](https://huggi... | null | [
"mit"
] | null | null | null | null | [
"precision",
"recall",
"f1"
] | [
"roberta",
"AutoModelForTokenClassification",
"RobertaForTokenClassification"
] | [
"token-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
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