End of training

README.md

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+---
+license: mit
+base_model: microsoft/deberta-v3-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Intent-classification-DeBERTa-model-Ashuv2
+  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. -->
+
+# Intent-classification-DeBERTa-model-Ashuv2
+
+This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1666
+- Accuracy: 0.9012
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.7819        | 0.12  | 10   | 1.7969          | 0.3665   |
+| 1.7316        | 0.25  | 20   | 1.6351          | 0.3975   |
+| 1.4279        | 0.37  | 30   | 1.2845          | 0.5776   |
+| 1.0181        | 0.49  | 40   | 0.8974          | 0.7143   |
+| 0.7285        | 0.62  | 50   | 0.6361          | 0.7640   |
+| 0.7265        | 0.74  | 60   | 0.4886          | 0.8509   |
+| 0.5108        | 0.86  | 70   | 0.3599          | 0.9006   |
+| 0.4413        | 0.99  | 80   | 0.2510          | 0.8944   |
+| 0.3556        | 1.11  | 90   | 0.2156          | 0.9130   |
+| 0.2884        | 1.23  | 100  | 0.2777          | 0.8944   |
+| 0.1914        | 1.36  | 110  | 0.2518          | 0.8944   |
+| 0.5051        | 1.48  | 120  | 0.2118          | 0.9130   |
+| 0.1151        | 1.6   | 130  | 0.1957          | 0.9130   |
+| 0.1745        | 1.73  | 140  | 0.2052          | 0.8820   |
+| 0.1987        | 1.85  | 150  | 0.2053          | 0.8882   |
+| 0.2467        | 1.98  | 160  | 0.1945          | 0.8944   |
+| 0.3075        | 2.1   | 170  | 0.2680          | 0.8944   |
+| 0.1732        | 2.22  | 180  | 0.2642          | 0.8882   |
+| 0.1627        | 2.35  | 190  | 0.1915          | 0.9068   |
+| 0.1766        | 2.47  | 200  | 0.1708          | 0.9130   |
+| 0.2563        | 2.59  | 210  | 0.1691          | 0.8944   |
+| 0.189         | 2.72  | 220  | 0.1941          | 0.9130   |
+| 0.1696        | 2.84  | 230  | 0.1907          | 0.9130   |
+| 0.1865        | 2.96  | 240  | 0.4247          | 0.9130   |
+| 0.3183        | 3.09  | 250  | 0.2251          | 0.8944   |
+| 0.185         | 3.21  | 260  | 0.2289          | 0.8882   |
+| 0.1636        | 3.33  | 270  | 0.1887          | 0.8944   |
+| 0.2432        | 3.46  | 280  | 0.2055          | 0.8882   |
+| 0.1518        | 3.58  | 290  | 0.2703          | 0.8944   |
+| 0.2371        | 3.7   | 300  | 0.2638          | 0.8944   |
+| 0.1742        | 3.83  | 310  | 0.2309          | 0.8944   |
+| 0.2269        | 3.95  | 320  | 0.2208          | 0.8882   |
+| 0.1404        | 4.07  | 330  | 0.2156          | 0.8820   |
+| 0.1056        | 4.2   | 340  | 0.2192          | 0.9006   |
+| 0.164         | 4.32  | 350  | 0.2282          | 0.9068   |
+| 0.1419        | 4.44  | 360  | 0.2380          | 0.9068   |
+| 0.1164        | 4.57  | 370  | 0.2438          | 0.9006   |
+| 0.2167        | 4.69  | 380  | 0.2429          | 0.9006   |
+| 0.1244        | 4.81  | 390  | 0.2363          | 0.8820   |
+| 0.2341        | 4.94  | 400  | 0.2344          | 0.8882   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2+cpu
+- Datasets 2.1.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "microsoft/deberta-v3-base",
+  "architectures": [
+    "DebertaV2ForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Install",
+    "1": "Change",
+    "2": "No Match",
+    "3": "SBC",
+    "4": "Terminate",
+    "5": "Compensation"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Change": 1,
+    "Compensation": 5,
+    "Install": 0,
+    "No Match": 2,
+    "SBC": 3,
+    "Terminate": 4
+  },
+  "layer_norm_eps": 1e-07,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
+    "p2c",
+    "c2p"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

model.safetensors

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+oid sha256:93cbef2972ef3ffc5f9192469fa0a2530eb28fb257cae3758b969779b167b097
+size 737731584

training_args.bin

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