End of training

README.md

@@ -0,0 +1,82 @@
+---
+library_name: transformers
+license: mit
+base_model: intfloat/multilingual-e5-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: intfloat-multilingual-e5-base-english-fp16
+  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. -->
+
+# intfloat-multilingual-e5-base-english-fp16
+
+This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3280
+- Accuracy: 0.8806
+- Precision: 0.8826
+- Recall: 0.8806
+- F1: 0.8787
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.3
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 1.1088        | 0.3922 | 50   | 1.0093          | 0.5010   | 0.6039    | 0.5010 | 0.3601 |
+| 0.9081        | 0.7843 | 100  | 0.7840          | 0.6262   | 0.6965    | 0.6262 | 0.5510 |
+| 0.6279        | 1.1725 | 150  | 0.4643          | 0.8350   | 0.8338    | 0.8350 | 0.8330 |
+| 0.41          | 1.5647 | 200  | 0.3708          | 0.8610   | 0.8615    | 0.8610 | 0.8588 |
+| 0.3623        | 1.9569 | 250  | 0.3420          | 0.8679   | 0.8717    | 0.8679 | 0.8650 |
+| 0.2924        | 2.3451 | 300  | 0.3280          | 0.8806   | 0.8826    | 0.8806 | 0.8787 |
+| 0.2822        | 2.7373 | 350  | 0.3052          | 0.8861   | 0.8867    | 0.8861 | 0.8849 |
+| 0.2532        | 3.1255 | 400  | 0.3366          | 0.8861   | 0.8880    | 0.8861 | 0.8845 |
+| 0.2101        | 3.5176 | 450  | 0.2986          | 0.8910   | 0.8904    | 0.8910 | 0.8903 |
+| 0.2267        | 3.9098 | 500  | 0.3331          | 0.8811   | 0.8821    | 0.8811 | 0.8794 |
+| 0.1641        | 4.2980 | 550  | 0.3474          | 0.8895   | 0.8893    | 0.8895 | 0.8884 |
+| 0.1653        | 4.6902 | 600  | 0.3467          | 0.8910   | 0.8912    | 0.8910 | 0.8901 |
+
+
+### Framework versions
+
+- Transformers 4.51.1
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

config.json

@@ -0,0 +1,38 @@
+{
+  "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": "negative",
+    "1": "positive",
+    "2": "neutral"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "negative": 0,
+    "neutral": 2,
+    "positive": 1
+  },
+  "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": "4.51.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 250002
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cacb67384e5a11dccac115fc724976bc19fdae98284ebdbeff94d17c5558a34c
+size 1112208084

runs/Apr16_17-32-59_9424de0d1b18/events.out.tfevents.1744824796.9424de0d1b18.1160.12

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:124689a86b4dc689f9e8d70b50f0661d6474c9f01d42dbe823e54928b3de9ab4
+size 13812

runs/Apr16_17-32-59_9424de0d1b18/events.out.tfevents.1744825250.9424de0d1b18.1160.13

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b1019cecf5eb88891842d0a428bb8d6fb8848d9e4a5d222ea1bbc3e28f481abd
+size 560

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:48808a499211b57396a6fbad25ccd1cd996863371f597e6948e8c113987ed1dc
+size 5432