Saving model gmra_crest-data-systems/gitlab-mr-analysis-default-model_07112024T112848

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: crest-data-systems/gitlab-mr-analysis-default-model
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: gitlab-mr-analysis-default-model_07112024T112848
+  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. -->
+
+# gitlab-mr-analysis-default-model_07112024T112848
+
+This model is a fine-tuned version of [crest-data-systems/gitlab-mr-analysis-default-model](https://huggingface.co/crest-data-systems/gitlab-mr-analysis-default-model) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4370
+- F1: 0.6019
+- Learning Rate: 1e-07
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | F1     | Rate   |
+|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
+| No log        | 0.9943 | 87   | 3.4729          | 0.1512 | 0.0000 |
+| No log        | 2.0    | 175  | 1.5854          | 0.2612 | 7e-06  |
+| No log        | 2.9943 | 262  | 1.3071          | 0.5194 | 0.0000 |
+| No log        | 4.0    | 350  | 1.1987          | 0.5696 | 0.0000 |
+| No log        | 4.9943 | 437  | 1.1969          | 0.5988 | 0.0000 |
+| 1.988         | 6.0    | 525  | 1.2343          | 0.6066 | 0.0000 |
+| 1.988         | 6.9943 | 612  | 1.2930          | 0.6052 | 0.0000 |
+| 1.988         | 8.0    | 700  | 1.3840          | 0.6037 | 0.0000 |
+| 1.988         | 8.9943 | 787  | 1.4193          | 0.5945 | 0.0000 |
+| 1.988         | 9.9429 | 870  | 1.4370          | 0.6019 | 1e-07  |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "crest-data-systems/gitlab-mr-analysis-default-model",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "acknowledgement",
+    "1": "change_request",
+    "2": "critical",
+    "3": "discussion_participation",
+    "4": "discussion_trigger",
+    "5": "reference"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "acknowledgement": 0,
+    "change_request": 1,
+    "critical": 2,
+    "discussion_participation": 3,
+    "discussion_trigger": 4,
+    "reference": 5
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "vocab_size": 30522
+}

model.safetensors

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runs/Nov07_05-58-48_d525db3baeb7/events.out.tfevents.1730959887.d525db3baeb7.1204.0

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special_tokens_map.json

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+}

tokenizer_config.json

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+  "tokenizer_class": "DistilBertTokenizer",
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+  "unk_token": "[UNK]"
+}

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