commit files to HF hub

README.md

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+
+---
+language: en
+widget:
+- text: "I am really upset that I have to call up to three times to the number on the back of my insurance card for my call to be answer"
+tags:
+- sagemaker
+- roberta-base
+- text classification
+license: apache-2.0
+datasets:
+- emotion
+model-index:
+- name: sagemaker-roberta-base-emotion
+  results:
+  - task: 
+      name: Multi Class Text Classification
+      type: text-classification
+    dataset:
+      name: "emotion" 
+      type: emotion
+    metrics:
+       - name: Validation Accuracy
+         type: accuracy
+         value: 94.1
+       - name: Validation F1
+         type: f1
+         value: 94.13
+  
+---
+## roberta-base
+
+This model is a fine-tuned model that was trained using Amazon SageMaker and the new Hugging Face Deep Learning container.
+- Problem type: Multi Class Text Classification (emotion detection).
+
+It achieves the following results on the evaluation set:
+- Loss: 0.1613253802061081
+- f1: 0.9413321705151999
+
+## Hyperparameters
+```json
+{
+    "epochs": 10,
+    "train_batch_size": 16,
+    "learning_rate": 3e-5, 
+    "weight_decay":0.01,
+    "load_best_model_at_end": true,
+    "model_name":"roberta-base",
+    "do_eval": True,
+    "load_best_model_at_end":True
+}
+```
+## Validation Metrics
+| key | value |
+| --- | ----- |
+| eval_accuracy  | 0.941 |
+| eval_f1 | 0.9413321705151999 |
+| eval_loss | 0.1613253802061081|
+| eval_recall | 0.941 |
+| eval_precision | 0.9419519436781406 |
+

config.json

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+{
+  "_name_or_path": "roberta-base",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "sadness",
+    "1": "joy",
+    "2": "love",
+    "3": "anger",
+    "4": "fear",
+    "5": "surprise"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "anger": "3",
+    "fear": "4",
+    "joy": "1",
+    "love": "2",
+    "sadness": "0",
+    "surprise": "5"
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.12.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

eval_results.json

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+{
+ "epoch": 10.0,
+"eval_accuracy" :  0.941,
+ "eval_f1": 0.9413321705151999,
+ "eval_loss": 0.1613253802061081,
+ "eval_precision": 0.9419519436781406,
+ "eval_recall" : 0.941,
+ "eval_runtime": 2.8452 ,
+ "eval_samples_per_second": 702.933,
+ "eval_steps_per_second": 2.812
+}

pytorch_model.bin

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special_tokens_map.json

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+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}

tokenizer_config.json

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+{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "roberta-base", "tokenizer_class": "RobertaTokenizer"}

training_args.bin

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