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621ffdc036468d709f1746a2 | Alexander-Learn/bert-finetuned-ner | Alexander-Learn | null | 9 | 602 | False | 2022-03-02T23:29:04Z | 2022-01-28T08:29:45Z | transformers | 0 | 0 | null | token-classification | null | [
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621ffdc036468d709f1746a4 | Alexander-Learn/bert-finetuned-squad | Alexander-Learn | null | 18 | 33,804 | False | 2022-03-02T23:29:04Z | 2022-01-29T09:16:44Z | transformers | 0 | 0 | null | question-answering | null | [
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621ffdc036468d709f1746ba | Alireza1044/albert-base-v2-cola | Alireza1044 | null | 7 | 1,650 | False | 2022-03-02T23:29:04Z | 2021-07-25T16:25:10Z | transformers | 0 | 0 | null | text-classification | null | [
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"dataset:glue",
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"endpoints_compatible",
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] | null | {"architectures": ["AlbertForSequenceClassification"], "model_type": "albert", "tokenizer_config": {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": fals... | {
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} | {"base_model": null, "datasets": ["glue"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["matthews_correlation"], "model_name": null, "pipeline_tag": null, "tags": ["generated_from_trainer"], "model_index": [{"name": "col... | <!-- 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. -->
# cola
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the GLUE COLA dataset.
It a... | null | [
"apache-2.0"
] | [
"glue"
] | [
"en"
] | null | null | [
"matthews_correlation"
] | [
"AlbertForSequenceClassification",
"albert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
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] | [
"text"
] | [
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621ffdc036468d709f1746bb | Alireza1044/albert-base-v2-mnli | Alireza1044 | null | 58 | 144,869 | False | 2022-03-02T23:29:04Z | 2021-07-27T21:10:33Z | transformers | 0 | 0 | null | text-classification | null | [
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"spiece.model",
"tokenizer.json",
"tokenizer_config.json",
"train_results.json",
"trainer_state.json",
"training_args.bin"
] | ce8224e1445a916d9d9b9f721bed8dad382f35f0 | [
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"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["AlbertForSequenceClassification"], "model_type": "albert", "tokenizer_config": {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": fals... | {
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} | {"base_model": null, "datasets": ["glue"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": null, "tags": ["generated_from_trainer"], "model_index": [{"name": "mnli", "results... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mnli
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the GLUE MNLI dataset.
It a... | null | [
"apache-2.0"
] | [
"glue"
] | [
"en"
] | null | null | [
"accuracy"
] | [
"AlbertForSequenceClassification",
"albert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1746bc | Alireza1044/albert-base-v2-mrpc | Alireza1044 | null | 9 | 1,449 | False | 2022-03-02T23:29:04Z | 2021-07-26T11:46:48Z | transformers | 0 | 0 | null | text-classification | null | [
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"runs/Jul26_11-40-40_578c7831d7ba/events.out.tfevents.1627299664.578c7831d... | a12ece8e4cf73d08d4242e016e3ca4685555aff4 | [
"transformers",
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"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["AlbertForSequenceClassification"], "model_type": "albert", "tokenizer_config": {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": fals... | {
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"pipeline_tag": "text-classification",
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} | {"base_model": null, "datasets": ["glue"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy", "f1"], "model_name": null, "pipeline_tag": null, "tags": ["generated_from_trainer"], "model_index": [{"name": "mrpc", "r... | <!-- 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. -->
# mrpc
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the GLUE MRPC dataset.
It a... | null | [
"apache-2.0"
] | [
"glue"
] | [
"en"
] | null | null | [
"accuracy",
"f1"
] | [
"AlbertForSequenceClassification",
"albert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1746bd | Alireza1044/albert-base-v2-qnli | Alireza1044 | null | 8 | 2,356 | False | 2022-03-02T23:29:04Z | 2021-07-27T15:39:56Z | transformers | 0 | 0 | null | text-classification | null | [
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"runs/Jul27_12-11-25_nlp992/events.out.tfevents.1627387922.nlp992",
"runs/Jul27_12-11-25_... | 69a25402725c8a1bfac50d24d3cbd0e779918061 | [
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"albert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["AlbertForSequenceClassification"], "model_type": "albert", "tokenizer_config": {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": fals... | {
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"pipeline_tag": "text-classification",
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} | {"base_model": null, "datasets": ["glue"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": null, "tags": ["generated_from_trainer"], "model_index": [{"name": "qnli", "results... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# qnli
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the GLUE QNLI dataset.
It a... | null | [
"apache-2.0"
] | [
"glue"
] | [
"en"
] | null | null | [
"accuracy"
] | [
"AlbertForSequenceClassification",
"albert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1746be | Alireza1044/albert-base-v2-qqp | Alireza1044 | null | 5 | 1,683 | False | 2022-03-02T23:29:04Z | 2021-07-28T02:04:17Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
".gitignore",
"README.md",
"all_results.json",
"config.json",
"eval_results.json",
"pytorch_model.bin",
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"spiece.model",
"tokenizer.json",
"tokenizer_config.json",
"train_results.json",
"trainer_state.json",
"training_args.bin"
] | 529530efc4e7a27c184e280e7e31dc1177c2c229 | [
"transformers",
"pytorch",
"albert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["AlbertForSequenceClassification"], "model_type": "albert", "tokenizer_config": {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": fals... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["glue"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy", "f1"], "model_name": null, "pipeline_tag": null, "tags": ["generated_from_trainer"], "model_index": [{"name": "qqp", "re... | <!-- 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. -->
# qqp
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the GLUE QQP dataset.
It ach... | null | [
"apache-2.0"
] | [
"glue"
] | [
"en"
] | null | null | [
"accuracy",
"f1"
] | [
"AlbertForSequenceClassification",
"albert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1746bf | Alireza1044/albert-base-v2-rte | Alireza1044 | null | 9 | 1,193 | False | 2022-03-02T23:29:04Z | 2021-07-26T12:02:09Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
".gitignore",
"README.md",
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"config.json",
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"runs/Jul26_11-58-06_578c7831d7ba/events.out.tfevents.1627300699.578c7831... | 42fcb4ff92c3189e5b0193aad2ccd3b62c9e7155 | [
"transformers",
"pytorch",
"tensorboard",
"albert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["AlbertForSequenceClassification"], "model_type": "albert", "tokenizer_config": {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": fals... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["glue"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": null, "tags": ["generated_from_trainer"], "model_index": [{"name": "rte", "results"... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# rte
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the GLUE RTE dataset.
It ach... | null | [
"apache-2.0"
] | [
"glue"
] | [
"en"
] | null | null | [
"accuracy"
] | [
"AlbertForSequenceClassification",
"albert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1746c0 | Alireza1044/albert-base-v2-sst2 | Alireza1044 | null | 264 | 15,339 | False | 2022-03-02T23:29:04Z | 2021-07-26T14:02:35Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
".gitignore",
"README.md",
"all_results.json",
"config.json",
"eval_results.json",
"pytorch_model.bin",
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"runs/Jul26_12-21-38_578c7831d7ba/events.out.tfevents.1627302117.578c7831... | e406771b99e1913921a68fbb95d121b582d1ecb7 | [
"transformers",
"pytorch",
"tensorboard",
"albert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["AlbertForSequenceClassification"], "model_type": "albert", "tokenizer_config": {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": fals... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["glue"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": null, "tags": ["generated_from_trainer"], "model_index": [{"name": "sst2", "results... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# sst2
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the GLUE SST2 dataset.
It a... | null | [
"apache-2.0"
] | [
"glue"
] | [
"en"
] | null | null | [
"accuracy"
] | [
"AlbertForSequenceClassification",
"albert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1746c1 | Alireza1044/albert-base-v2-stsb | Alireza1044 | null | 13 | 1,075 | False | 2022-03-02T23:29:04Z | 2021-07-26T10:57:27Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
".gitignore",
"README.md",
"all_results.json",
"config.json",
"eval_results.json",
"pytorch_model.bin",
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"runs/Jul26_10-48-21_87e5b6406975/events.out.tfevents.1627296525.87e5b6406... | 1fb5f36aefaf6c8d4c037b7648c182836497f6a0 | [
"transformers",
"pytorch",
"tensorboard",
"albert",
"text-classification",
"generated_from_trainer",
"en",
"dataset:glue",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["AlbertForSequenceClassification"], "model_type": "albert", "tokenizer_config": {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": fals... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["glue"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["spearmanr"], "model_name": null, "pipeline_tag": null, "tags": ["generated_from_trainer"], "model_index": [{"name": "stsb", "result... | <!-- 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. -->
# stsb
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the GLUE STSB dataset.
It a... | null | [
"apache-2.0"
] | [
"glue"
] | [
"en"
] | null | null | [
"spearmanr"
] | [
"AlbertForSequenceClassification",
"albert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1746c2 | Alireza1044/albert-base-v2-wnli | Alireza1044 | null | 6 | 1,283 | False | 2022-03-02T23:29:04Z | 2021-07-28T07:30:04Z | transformers | 0 | 0 | null | text-classification | null | [
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"generated_from_trainer",
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"dataset:glue",
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] | null | {"architectures": ["AlbertForSequenceClassification"], "model_type": "albert", "tokenizer_config": {"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": fals... | {
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"pipeline_tag": "text-classification",
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} | {"base_model": null, "datasets": ["glue"], "eval_results": null, "language": ["en"], "library_name": null, "license": "apache-2.0", "license_name": null, "license_link": null, "metrics": ["accuracy"], "model_name": null, "pipeline_tag": null, "tags": ["generated_from_trainer"], "model_index": [{"name": "wnli", "results... | <!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wnli
This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the GLUE WNLI dataset.
It a... | null | [
"apache-2.0"
] | [
"glue"
] | [
"en"
] | null | null | [
"accuracy"
] | [
"AlbertForSequenceClassification",
"albert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
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621ffdc036468d709f1746c3 | Alireza1044/bert_classification_lm | Alireza1044 | null | 2 | 926 | False | 2022-03-02T23:29:04Z | 2021-07-09T08:50:58Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
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"config.json",
"pytorch_model.bin",
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"tokenizer.json",
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] | e44960e937ebbd66268001dc99b679e195ece584 | [
"transformers",
"pytorch",
"bert",
"text-classification",
"text-embeddings-inference",
"endpoints_compatible",
"deploy:azure",
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] | null | {"architectures": ["BertForSequenceClassification"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | null | A simple model trained on dialogues of characters in NBC series, `The Office`. The model can do a binary classification between `Michael Scott` and `Dwight Shrute`'s dialogues.
<style type="text/css">
.tg {border-collapse:collapse;border-spacing:0;}
.tg td{border-color:black;border-style:solid;border-width:1px;font-f... | null | null | null | null | null | null | null | [
"BertForSequenceClassification",
"bert",
"AutoModelForSequenceClassification"
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621ffdc036468d709f1746c4 | Alireza1044/dwight_bert_lm | Alireza1044 | null | 10 | 3,508 | False | 2022-03-02T23:29:04Z | 2021-07-08T16:54:30Z | transformers | 1 | 0 | null | text-generation | null | [
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"merges.txt",
"pytorch_model.bin",
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] | 8869ddafc6f3899e5584aee95495930a54affd01 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
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"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
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] | [
"text"
] | [
"text"
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621ffdc036468d709f1746c5 | Alireza1044/michael_bert_lm | Alireza1044 | null | 7 | 1,252 | False | 2022-03-02T23:29:04Z | 2021-07-08T16:48:19Z | transformers | 0 | 0 | null | text-generation | null | [
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"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
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] | 9711c0726453982106d91dbd5e8319e70b45fbd9 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>"}} | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
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621ffdc036468d709f1746c6 | AlirezaBaneshi/testPersianQA | AlirezaBaneshi | null | 8 | 584 | False | 2022-03-02T23:29:04Z | 2022-02-01T13:39:46Z | transformers | 0 | 0 | null | question-answering | null | [
".gitattributes",
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".ipynb_checkpoints/trainer_state-checkpoint.json",
"config.json",
"optimizer.p... | b9da3f9d0312318991945208d445a20fce7a4ccd | [
"transformers",
"pytorch",
"bert",
"question-answering",
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] | null | {"architectures": ["BertForQuestionAnswering"], "model_type": "bert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForQuestionAnswering",
"custom_class": null,
"pipeline_tag": "question-answering",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"AutoModelForQuestionAnswering",
"bert",
"BertForQuestionAnswering"
] | [
"question-answering"
] | [
"text"
] | [
"text"
] | [
"text"
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621ffdc036468d709f1746ea | AllwynJ/HarryBoy | AllwynJ | null | 7 | 883 | False | 2022-03-02T23:29:04Z | 2021-09-07T17:42:32Z | transformers | 0 | 0 | null | text-generation | null | [
".gitattributes",
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"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"training_args.bin",
"vocab.json"
] | 51794f2dbc5aac3b32d62d0c067eec4527967a96 | [
"transformers",
"pytorch",
"gpt2",
"text-generation",
"conversational",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["GPT2LMHeadModel"], "model_type": "gpt2", "tokenizer_config": {"unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": fals... | {
"auto_model": "AutoModelForCausalLM",
"custom_class": null,
"pipeline_tag": "text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["conversational"]} | null | null | null | null | null | null | null | null | [
"GPT2LMHeadModel",
"AutoModelForCausalLM",
"gpt2"
] | [
"text-generation"
] | [
"text"
] | [
"text"
] | [
"text"
] |
621ffdc036468d709f1746f0 | Aloka/mbart50-ft-si-en | Aloka | null | 2 | 570 | False | 2022-03-02T23:29:04Z | 2021-08-29T13:11:14Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
".gitignore",
"README.md",
"config.json",
"logs/1630242154.849394/events.out.tfevents.1630242154.NLPC-Sita-MLM.222817.1",
"logs/events.out.tfevents.1630242154.NLPC-Sita-MLM.222817.0",
"pytorch_model.bin",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"... | 1c9a9b49487da24bde843d634f8ad81409a8cc20 | [
"transformers",
"pytorch",
"tensorboard",
"mbart",
"text2text-generation",
"generated_from_trainer",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["MBartForConditionalGeneration"], "model_type": "mbart", "tokenizer_config": {"eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__typ... | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": null, "eval_results": null, "language": null, "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": ["generated_from_trainer"], "model_index": [{"name": "mbart50-ft-si-en", "results": [{"task... | <!-- 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. -->
# mbart50-ft-si-en
This model was trained from scratch on an unkown dataset.
It achieves the following results on the evaluation se... | null | null | null | null | null | null | null | [
"AutoModelForSeq2SeqLM",
"MBartForConditionalGeneration",
"mbart"
] | [
"text2text-generation"
] | null | null | null |
621ffdc036468d709f1746f4 | Alstractor/distilbert-base-uncased-finetuned-cola | Alstractor | null | 9 | 1,039 | False | 2022-03-02T23:29:04Z | 2021-11-04T21:34:27Z | transformers | 0 | 0 | [{"name": "distilbert-base-uncased-finetuned-cola", "results": [{"task": {"name": "Text Classification", "type": "text-classification"}, "dataset": {"name": "glue", "type": "glue", "args": "cola"}, "metrics": [{"name": "Matthews Correlation", "type": "matthews_correlation", "value": 0.5343023846000738, "verified": fals... | text-classification | null | [
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"runs/Nov04_19-44-34_766471bd4f81/1636055080.479724/events.out.tfevents.1636055080.766471bd4f81.65.1",
"runs/Nov04_19-44-34_766471bd4f81/events.out.tfevents.1636055080.766471bd4f81.65.0",
"runs/Nov04_19-44-34_766471bd4f81... | 186e5e4e33fb7f948b8b9a39e0afe317b08ec5ca | [
"transformers",
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"tensorboard",
"distilbert",
"text-classification",
"generated_from_trainer",
"dataset:glue",
"license:apache-2.0",
"model-index",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForSequenceClassification"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"datasets": ["glue"], "license": "apache-2.0", "metrics": ["matthews_correlation"], "tags": ["generated_from_trainer"], "model-index": [{"name": "distilbert-base-uncased-finetuned-cola", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "glue", "type": "glue", "ar... | <!-- 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-cola
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dis... | null | [
"apache-2.0"
] | [
"glue"
] | null | null | null | [
"matthews_correlation"
] | [
"DistilBertForSequenceClassification",
"distilbert",
"AutoModelForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1748be | Amirosein/distilbert_v1 | Amirosein | null | 3 | 602 | False | 2022-03-02T23:29:04Z | 2021-09-13T16:37:16Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | 382004181c6c1560886773d6b87286fdbf071ed6 | [
"transformers",
"pytorch",
"distilbert",
"fill-mask",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["DistilBertForMaskedLM"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"distilbert",
"AutoModelForMaskedLM",
"DistilBertForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1748bf | Amirosein/roberta | Amirosein | null | 6 | 1,142 | False | 2022-03-02T23:29:04Z | 2021-09-06T13:41:15Z | transformers | 0 | 0 | null | fill-mask | null | [
".gitattributes",
"config.json",
"merges.txt",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | d2f41324b98cb1a9dd59f43f305c5e5c0ed0403e | [
"transformers",
"pytorch",
"roberta",
"fill-mask",
"endpoints_compatible",
"deploy:azure",
"region:us"
] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normaliz... | {
"auto_model": "AutoModelForMaskedLM",
"custom_class": null,
"pipeline_tag": "fill-mask",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"roberta",
"AutoModelForMaskedLM",
"RobertaForMaskedLM"
] | [
"fill-mask"
] | [
"text"
] | [
"text"
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621ffdc036468d709f1748e5 | Anamika/autonlp-Feedback1-479512837 | Anamika | null | 6 | 836 | False | 2022-03-02T23:29:04Z | 2022-01-06T10:05:22Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"pytorch_model.bin",
"sample_input.pkl",
"sentencepiece.bpe.model",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | a5bb03ff52dd6e41f84962bfc14b4e1424e7bc40 | [
"transformers",
"pytorch",
"xlm-roberta",
"text-classification",
"unk",
"dataset:Anamika/autonlp-data-Feedback1",
"co2_eq_emissions",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["XLMRobertaForSequenceClassification"], "model_type": "xlm-roberta", "tokenizer_config": {"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": f... | {
"auto_model": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["Anamika/autonlp-data-Feedback1"], "eval_results": null, "language": "unk", "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "widget": [{"text": "I love AutoNLP \ud83e\udd17"}], "... | # Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 479512837
- CO2 Emissions (in grams): 123.88023112815048
## Validation Metrics
- Loss: 0.6220805048942566
- Accuracy: 0.7961119332705503
- Macro F1: 0.7616345204219084
- Micro F1: 0.7961119332705503
- Weighted F1: 0.795387503907883
... | null | null | [
"Anamika/autonlp-data-Feedback1"
] | [
"unk"
] | null | null | null | [
"AutoModelForSequenceClassification",
"XLMRobertaForSequenceClassification",
"xlm-roberta"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f1748f5 | Anamika/autonlp-fa-473312409 | Anamika | null | 5 | 817 | False | 2022-03-02T23:29:04Z | 2022-01-04T20:08:00Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
"README.md",
"config.json",
"merges.txt",
"pytorch_model.bin",
"sample_input.pkl",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | 30f4541f49f67d3887c5f2161a2513c6a2741e55 | [
"transformers",
"pytorch",
"roberta",
"text-classification",
"en",
"dataset:Anamika/autonlp-data-fa",
"co2_eq_emissions",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["RobertaForSequenceClassification"], "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": "AutoModelForSequenceClassification",
"custom_class": null,
"pipeline_tag": "text-classification",
"processor": "AutoTokenizer"
} | {"base_model": null, "datasets": ["Anamika/autonlp-data-fa"], "eval_results": null, "language": "en", "library_name": null, "license": null, "license_name": null, "license_link": null, "metrics": null, "model_name": null, "pipeline_tag": null, "tags": null, "widget": [{"text": "I love AutoNLP \ud83e\udd17"}], "co2_eq_e... | # Model Trained Using AutoNLP
- Problem type: Multi-class Classification
- Model ID: 473312409
- CO2 Emissions (in grams): 25.128735714898614
## Validation Metrics
- Loss: 0.6010786890983582
- Accuracy: 0.7990650945370823
- Macro F1: 0.7429662929144928
- Micro F1: 0.7990650945370823
- Weighted F1: 0.7977660363770382... | null | null | [
"Anamika/autonlp-data-fa"
] | [
"en"
] | null | null | null | [
"roberta",
"AutoModelForSequenceClassification",
"RobertaForSequenceClassification"
] | [
"text-classification"
] | [
"text"
] | [
"text"
] | [
"logits"
] |
621ffdc036468d709f174912 | Andranik/TestPytorchClassification | Andranik | null | 5 | 867 | False | 2022-03-02T23:29:04Z | 2022-02-17T12:49:56Z | transformers | 0 | 0 | null | text-classification | null | [
".gitattributes",
"config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"trainer_state.json",
"training_args.bin",
"vocab.txt"
] | 73b294c609be1d24afd9d9c22cf7532416b616a7 | [
"transformers",
"pytorch",
"distilbert",
"text-classification",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["DistilBertForSequenceClassification"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
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} | null | null | null | null | null | null | null | null | null | [
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621ffdc036468d709f174915 | AndreLiu1225/t5-news-summarizer | AndreLiu1225 | null | 4 | 1,937 | False | 2022-03-02T23:29:04Z | 2021-10-26T02:45:12Z | transformers | 1 | 0 | null | null | null | [
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"t5",
"text2text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5"} | {
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"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | null | null | null | null | null | null | null | null | null | [
"t5",
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"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
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621ffdc036468d709f174916 | AndreLiu1225/t5-news | AndreLiu1225 | null | 9 | 1,327 | False | 2022-03-02T23:29:04Z | 2021-10-26T02:49:39Z | transformers | 0 | 0 | null | null | null | [
".gitattributes",
"README.md",
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] | 687ebc613881f80d2dbf047080a4629793f303c4 | [
"transformers",
"pytorch",
"t5",
"text2text-generation",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | null | {"architectures": ["T5ForConditionalGeneration"], "model_type": "t5"} | {
"auto_model": "AutoModelForSeq2SeqLM",
"custom_class": null,
"pipeline_tag": "text2text-generation",
"processor": "AutoTokenizer"
} | null | This is a pretrained model that was loaded from t5-base. It has been adapted and changed by changing the max_length and summary_length. | null | null | null | null | null | null | null | [
"t5",
"T5ForConditionalGeneration",
"AutoModelForSeq2SeqLM"
] | [
"text2text-generation"
] | null | null | null |
621ffdc036468d709f17491d | AndrewChar/model-QA-5-epoch-RU | AndrewChar | null | 26 | 8,283 | False | 2022-03-02T23:29:04Z | 2022-11-29T19:36:19Z | transformers | 17 | 0 | [{"name": "model-QA-5-epoch-RU", "results": []}] | question-answering | null | [
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] | null | {"architectures": ["DistilBertForQuestionAnswering"], "model_type": "distilbert", "tokenizer_config": {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}} | {
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probably proofread and complete it, then remove this comment. -->
# model-QA-5-epoch-RU
This model is a fine-tuned version of [AndrewChar/diplom-prod-epoch-4-datast-sber-QA](https://huggingface.co/Andrew... | null | null | [
"sberquad"
] | [
"ru"
] | null | null | null | [
"AutoModelForQuestionAnswering",
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"text"
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"text"
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621ffdc036468d709f174936 | Andrey1989/mbert-finetuned-ner | Andrey1989 | null | 5 | 2,599 | False | 2022-03-02T23:29:04Z | 2022-06-13T19:46:59Z | transformers | 0 | 0 | [{"name": "mbert-finetuned-ner", "results": [{"task": {"name": "Token Classification", "type": "token-classification"}, "dataset": {"name": "wikiann", "type": "wikiann", "args": "lv"}, "metrics": [{"name": "Precision", "type": "precision", "value": 0.9304986338797814, "verified": false}, {"name": "Recall", "type": "rec... | token-classification | null | [
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should probably proofread and complete it, then remove this comment. -->
# mbert-finetuned-ner
This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multili... | null | [
"apache-2.0"
] | [
"wikiann"
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621ffdc036468d709f17493d | Andrija/M-bert-NER | Andrija | null | 5 | 1,137 | False | 2022-03-02T23:29:04Z | 2023-01-01T14:31:58Z | transformers | 0 | 0 | null | token-classification | null | [
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Abbreviation|Description
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621ffdc036468d709f17493f | Andrija/SRoBERTa-F | Andrija | null | 6 | 2,393 | False | 2022-03-02T23:29:04Z | 2023-01-03T20:49:02Z | transformers | 2 | 0 | null | fill-mask | null | [
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] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normaliz... | {
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Trained on 43GB datasets that contain Croatian and Serbian language for one epochs (9.6 mil. steps, 3 epochs).
Leipzig Corpus, OSCAR, srWac, hrWac, cc100-hr and cc100-sr datasets
Validation number of exampels run for perplexity:1620487 sentences
Perplexity:6.02
St... | null | [
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"cc100",
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] | null | null | null | [
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621ffdc036468d709f174940 | Andrija/SRoBERTa-L-NER | Andrija | null | 9 | 1,383 | False | 2022-03-02T23:29:04Z | 2023-01-01T14:52:27Z | transformers | 0 | 0 | null | token-classification | null | [
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] | null | {"architectures": ["RobertaForTokenClassification"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false... | {
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Abbreviation|Description
-|-
O|Outside of a named entity
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I-MIS | Miscellaneous entity
B-PER |Beginning of a person’s name right after another person’... | null | [
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621ffdc036468d709f174941 | Andrija/SRoBERTa-L | Andrija | null | 5 | 1,475 | False | 2022-03-02T23:29:04Z | 2023-01-01T14:51:44Z | transformers | 0 | 0 | null | fill-mask | null | [
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] | null | {"architectures": ["RobertaForMaskedLM"], "model_type": "roberta", "tokenizer_config": {"unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normaliz... | {
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Trained on 6GB datasets that contain Croatian and Serbian language for two epochs (500k steps).
Leipzig, OSCAR and srWac datasets
| Model | #params | Arch. | Training data |
|----------------------... | null | [
"apache-2.0"
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621ffdc036468d709f174942 | Andrija/SRoBERTa-NER | Andrija | null | 5 | 1,325 | False | 2022-03-02T23:29:04Z | 2023-01-01T14:52:19Z | transformers | 0 | 0 | null | token-classification | null | [
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Abbreviation|Description
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O|Outside of a named entity
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621ffdc036468d709f174943 | Andrija/SRoBERTa-NLP | Andrija | null | 5 | 1,152 | False | 2022-03-02T23:29:04Z | 2021-07-08T13:25:21Z | transformers | 0 | 0 | null | token-classification | null | [
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"pipeline_tag": "token-classification",
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} | null | null | null | null | null | null | null | null | null | [
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621ffdc036468d709f174944 | Andrija/SRoBERTa-XL-NER | Andrija | null | 11 | 1,348 | False | 2022-03-02T23:29:04Z | 2023-01-01T14:51:37Z | transformers | 0 | 0 | null | token-classification | null | [
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Abbreviation|Description
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O|Outside of a named entity
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I-MIS | Miscellaneous entity
B-PER |Beginning of a person's name right after another person'... | null | [
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621ffdc036468d709f174945 | Andrija/SRoBERTa-XL | Andrija | null | 5 | 1,808 | False | 2022-03-02T23:29:04Z | 2023-01-01T14:52:12Z | transformers | 2 | 0 | null | fill-mask | null | [
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Trained on 28GB datasets that contain Croatian and Serbian language for one epochs (3 mil. steps).
Leipzig Corpus, OSCAR, srWac, hrWac, cc100-hr and cc100-sr datasets
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621ffdc036468d709f174946 | Andrija/SRoBERTa-base-NER | Andrija | null | 5 | 1,272 | False | 2022-03-02T23:29:04Z | 2023-01-01T14:51:52Z | transformers | 0 | 0 | null | token-classification | null | [
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Abbreviation|Description
-|-
O|Outside of a named entity
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I-MIS | Miscellaneous entity
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621ffdc036468d709f17494f | AndyJ/prompt_finetune | AndyJ | null | 2 | 596 | False | 2022-03-02T23:29:04Z | 2022-02-17T01:25:00Z | transformers | 0 | 0 | null | fill-mask | null | [
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621ffdc036468d709f174950 | AndyyyCai/bert-base-uncased-finetuned-copa | AndyyyCai | null | 28 | 704 | False | 2022-03-02T23:29:04Z | 2022-03-01T01:57:06Z | transformers | 0 | 0 | null | multiple-choice | null | [
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621ffdc036468d709f174970 | tensor-trek/distilbert-base-uncased-finetuned-emotion | tensor-trek | null | 5 | 804 | False | 2022-03-02T23:29:04Z | 2023-09-18T15:43:40Z | transformers | 0 | 0 | null | text-classification | {"parameters": {"F32": 66958086}, "total": 66958086} | [
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621ffdc036468d709f174977 | Ann2020/distilbert-base-uncased-finetuned-ner | Ann2020 | null | 7 | 681 | False | 2022-03-02T23:29:04Z | 2021-08-29T21:13:47Z | transformers | 0 | 0 | null | token-classification | null | [
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should probably proofread and complete it, then remove this comment. -->
# distilbert-base-uncased-finetuned-ner
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/dist... | null | [
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621ffdc036468d709f174983 | AnonARR/qqp-bert | AnonARR | null | 1 | 858 | False | 2022-03-02T23:29:04Z | 2021-11-15T21:25:04Z | transformers | 0 | 0 | null | text-classification | null | [
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621ffdc036468d709f17498d | AnonymousSub/AR_EManuals-BERT | AnonymousSub | null | 2 | 787 | False | 2022-03-02T23:29:04Z | 2022-01-12T11:32:11Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f17498e | AnonymousSub/AR_EManuals-RoBERTa | AnonymousSub | null | 3 | 689 | False | 2022-03-02T23:29:04Z | 2022-01-12T11:38:46Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f17498f | AnonymousSub/AR_SDR_HF_model_base | AnonymousSub | null | 3 | 652 | False | 2022-03-02T23:29:04Z | 2022-01-11T21:48:47Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f174990 | AnonymousSub/AR_bert-base-uncased | AnonymousSub | null | 2 | 805 | False | 2022-03-02T23:29:04Z | 2022-01-12T11:46:29Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f174991 | AnonymousSub/AR_cline | AnonymousSub | null | 1 | 709 | False | 2022-03-02T23:29:04Z | 2022-01-12T11:50:55Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f174992 | AnonymousSub/AR_consert | AnonymousSub | null | 3 | 761 | False | 2022-03-02T23:29:04Z | 2022-01-12T12:04:53Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f174993 | AnonymousSub/AR_declutr | AnonymousSub | null | 1 | 687 | False | 2022-03-02T23:29:04Z | 2022-01-12T12:09:19Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f174994 | AnonymousSub/AR_rule_based_bert_quadruplet_epochs_1_shard_1 | AnonymousSub | null | 4 | 694 | False | 2022-03-02T23:29:04Z | 2022-01-11T00:05:10Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f174995 | AnonymousSub/AR_rule_based_bert_triplet_epochs_1_shard_1 | AnonymousSub | null | 1 | 718 | False | 2022-03-02T23:29:04Z | 2022-01-10T23:12:46Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749bd | AnonymousSub/SR_cline | AnonymousSub | null | 18 | 629 | False | 2022-03-02T23:29:04Z | 2022-01-12T10:58:10Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749be | AnonymousSub/SR_consert | AnonymousSub | null | 17 | 680 | False | 2022-03-02T23:29:04Z | 2022-01-12T10:50:12Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749bf | AnonymousSub/SR_declutr | AnonymousSub | null | 13 | 652 | False | 2022-03-02T23:29:04Z | 2022-01-12T10:53:08Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749c0 | AnonymousSub/SR_rule_based_bert_quadruplet_epochs_1_shard_1 | AnonymousSub | null | 140 | 815 | False | 2022-03-02T23:29:04Z | 2022-01-10T22:50:22Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749c1 | AnonymousSub/SR_rule_based_bert_triplet_epochs_1_shard_1 | AnonymousSub | null | 13 | 698 | False | 2022-03-02T23:29:04Z | 2022-01-11T00:20:20Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749c2 | AnonymousSub/SR_rule_based_hier_quadruplet_epochs_1_shard_1 | AnonymousSub | null | 12 | 32 | False | 2022-03-02T23:29:04Z | 2022-01-10T23:25:51Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749c3 | AnonymousSub/SR_rule_based_hier_triplet_epochs_1_shard_1 | AnonymousSub | null | 12 | 667 | False | 2022-03-02T23:29:04Z | 2022-01-11T01:14:35Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749c4 | AnonymousSub/SR_rule_based_only_classfn_epochs_1_shard_1 | AnonymousSub | null | 16 | 710 | False | 2022-03-02T23:29:04Z | 2022-01-11T01:50:18Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749c5 | AnonymousSub/SR_rule_based_only_classfn_twostage_epochs_1_shard_1 | AnonymousSub | null | 116 | 731 | False | 2022-03-02T23:29:04Z | 2022-01-10T22:14:11Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749c6 | AnonymousSub/SR_rule_based_roberta_bert_quadruplet_epochs_1_shard_1 | AnonymousSub | null | 18 | 554 | False | 2022-03-02T23:29:04Z | 2022-01-12T09:30:25Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749c7 | AnonymousSub/SR_rule_based_roberta_bert_quadruplet_epochs_1_shard_10 | AnonymousSub | null | 11 | 524 | False | 2022-03-02T23:29:04Z | 2022-01-06T06:51:36Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749c8 | AnonymousSub/SR_rule_based_roberta_bert_triplet_epochs_1_shard_1 | AnonymousSub | null | 13 | 523 | False | 2022-03-02T23:29:04Z | 2022-01-06T08:03:18Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749c9 | AnonymousSub/SR_rule_based_roberta_bert_triplet_epochs_1_shard_10 | AnonymousSub | null | 12 | 521 | False | 2022-03-02T23:29:04Z | 2022-01-06T08:38:38Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749ca | AnonymousSub/SR_rule_based_roberta_hier_quadruplet_epochs_1_shard_1 | AnonymousSub | null | 12 | 544 | False | 2022-03-02T23:29:04Z | 2022-01-12T08:52:23Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749cb | AnonymousSub/SR_rule_based_roberta_hier_quadruplet_epochs_1_shard_10 | AnonymousSub | null | 13 | 505 | False | 2022-03-02T23:29:04Z | 2022-01-06T02:10:33Z | transformers | 0 | 0 | null | feature-extraction | null | [
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621ffdc036468d709f1749cc | AnonymousSub/SR_rule_based_roberta_hier_triplet_epochs_1_shard_1 | AnonymousSub | null | 130 | 640 | False | 2022-03-02T23:29:04Z | 2022-01-06T06:29:56Z | transformers | 0 | 0 | null | feature-extraction | null | [
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