End of training

README.md

@@ -0,0 +1,70 @@
+---
+license: mit
+base_model: jalaluddin94/xlmr-nli-indoindo
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+model-index:
+- name: jalaluddin94trf-learn-xlmr
+  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. -->
+
+# jalaluddin94trf-learn-xlmr
+
+This model is a fine-tuned version of [jalaluddin94/xlmr-nli-indoindo](https://huggingface.co/jalaluddin94/xlmr-nli-indoindo) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5086
+- Accuracy: 0.7160
+- Precision: 0.7160
+- Recall: 0.7160
+- F1 Score: 0.7164
+
+## 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: 3e-06
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 101
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1 Score |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:--------:|
+| 0.9534        | 1.0   | 5165  | 0.9636          | 0.6846   | 0.6846    | 0.6846 | 0.6761   |
+| 1.1646        | 2.0   | 10330 | 0.8866          | 0.7069   | 0.7069    | 0.7069 | 0.7067   |
+| 1.055         | 3.0   | 15495 | 1.3740          | 0.7055   | 0.7055    | 0.7055 | 0.7068   |
+| 1.0742        | 4.0   | 20660 | 1.4113          | 0.7051   | 0.7051    | 0.7051 | 0.7074   |
+| 0.9792        | 5.0   | 25825 | 1.3866          | 0.7137   | 0.7137    | 0.7137 | 0.7139   |
+| 1.0319        | 6.0   | 30990 | 1.5086          | 0.7160   | 0.7160    | 0.7160 | 0.7164   |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

config.json

@@ -0,0 +1,39 @@
+{
+  "_name_or_path": "jalaluddin94/xlmr-nli-indoindo",
+  "architectures": [
+    "XLMRobertaForSequenceClassification"
+  ],
+  "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": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "xlm-roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec833ca22b1c57c5c693a8c75e2576fa56094523f3a9b659b41efe9010b60ead
+size 1112252785

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e05ff597268b0c25246268edb0890c49b1aafe14da770adf2318a4a1a24fbbd
+size 4155