End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: OpenDispatcher_v2_gpt35turbo_and_gpt4
+  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. -->
+
+# OpenDispatcher_v2_gpt35turbo_and_gpt4
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5490
+
+## 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: 16
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 3000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.6348        | 0.07  | 100  | 0.5852          |
+| 0.5826        | 0.14  | 200  | 0.5731          |
+| 0.5683        | 0.21  | 300  | 0.5681          |
+| 0.5606        | 0.28  | 400  | 0.5640          |
+| 0.5557        | 0.35  | 500  | 0.5705          |
+| 0.5637        | 0.41  | 600  | 0.5647          |
+| 0.5655        | 0.48  | 700  | 0.5569          |
+| 0.5565        | 0.55  | 800  | 0.5747          |
+| 0.5656        | 0.62  | 900  | 0.5570          |
+| 0.5545        | 0.69  | 1000 | 0.5573          |
+| 0.5474        | 0.76  | 1100 | 0.5595          |
+| 0.5566        | 0.83  | 1200 | 0.5539          |
+| 0.5738        | 0.9   | 1300 | 0.5499          |
+| 0.5727        | 0.97  | 1400 | 0.5499          |
+| 0.5463        | 1.04  | 1500 | 0.5683          |
+| 0.5396        | 1.1   | 1600 | 0.5529          |
+| 0.5529        | 1.17  | 1700 | 0.5603          |
+| 0.5444        | 1.24  | 1800 | 0.5540          |
+| 0.5388        | 1.31  | 1900 | 0.5652          |
+| 0.5347        | 1.38  | 2000 | 0.5563          |
+| 0.5303        | 1.45  | 2100 | 0.5542          |
+| 0.5419        | 1.52  | 2200 | 0.5480          |
+| 0.5344        | 1.59  | 2300 | 0.5512          |
+| 0.5316        | 1.66  | 2400 | 0.5548          |
+| 0.5487        | 1.73  | 2500 | 0.5500          |
+| 0.5388        | 1.8   | 2600 | 0.5472          |
+| 0.5423        | 1.86  | 2700 | 0.5469          |
+| 0.5067        | 1.93  | 2800 | 0.5521          |
+| 0.5236        | 2.0   | 2900 | 0.5482          |
+| 0.5126        | 2.07  | 3000 | 0.5490          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "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,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "vocab_size": 30522
+}

model.safetensors

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+oid sha256:20fec76fc82b4a48e0537a968b6e917bc829687f02b11985496543d02b083821
+size 267832560

training_args.bin

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