add model

README.md

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+---
+license: apache-2.0
+datasets:
+- null
+model_index:
+- name: dear-jarvis-v5
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+---
+
+<!-- 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. -->
+
+# dear-jarvis-v5
+
+This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3148
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 470  | 0.3106          |
+| 0.3452        | 2.0   | 940  | 0.3064          |
+| 0.2692        | 3.0   | 1410 | 0.3148          |
+
+
+### Framework versions
+
+- Transformers 4.7.0
+- Pytorch 1.9.0+cu102
+- Datasets 1.8.0
+- Tokenizers 0.10.3

config.json

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+{
+  "_name_or_path": "distilbert-base-cased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "neutral",
+    "1": "anger",
+    "2": "anticipation",
+    "3": "disgust",
+    "4": "fear",
+    "5": "joy",
+    "6": "sadness",
+    "7": "surprise",
+    "8": "trust"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "anger": "1",
+    "anticipation": "2",
+    "disgust": "3",
+    "fear": "4",
+    "joy": "5",
+    "neutral": "0",
+    "sadness": "6",
+    "surprise": "7",
+    "trust": "8"
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "multi_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "transformers_version": "4.7.0",
+  "vocab_size": 28996
+}

pytorch_model.bin

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