End of training

README.md

@@ -0,0 +1,84 @@
+---
+library_name: transformers
+license: mit
+base_model: intfloat/e5-small
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: intfloat-e5-small-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-e5-small-english-fp16
+
+This model is a fine-tuned version of [intfloat/e5-small](https://huggingface.co/intfloat/e5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3566
+- Accuracy: 0.8743
+- Precision: 0.8739
+- Recall: 0.8743
+- F1: 0.8726
+
+## 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     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 1.0921        | 0.3922 | 50   | 1.0827          | 0.4828   | 0.7503    | 0.4828 | 0.3144 |
+| 1.0638        | 0.7843 | 100  | 1.0366          | 0.4828   | 0.7503    | 0.4828 | 0.3144 |
+| 0.9808        | 1.1725 | 150  | 0.9117          | 0.5255   | 0.6319    | 0.5255 | 0.4004 |
+| 0.8052        | 1.5647 | 200  | 0.7107          | 0.7014   | 0.7209    | 0.7014 | 0.6282 |
+| 0.6279        | 1.9569 | 250  | 0.5362          | 0.8379   | 0.8370    | 0.8379 | 0.8348 |
+| 0.4941        | 2.3451 | 300  | 0.4518          | 0.8615   | 0.8620    | 0.8615 | 0.8592 |
+| 0.4408        | 2.7373 | 350  | 0.4130          | 0.8635   | 0.8641    | 0.8635 | 0.8617 |
+| 0.3937        | 3.1255 | 400  | 0.3826          | 0.8743   | 0.8739    | 0.8743 | 0.8730 |
+| 0.3403        | 3.5176 | 450  | 0.3628          | 0.8757   | 0.8772    | 0.8757 | 0.8748 |
+| 0.3613        | 3.9098 | 500  | 0.3566          | 0.8743   | 0.8739    | 0.8743 | 0.8726 |
+| 0.2971        | 4.2980 | 550  | 0.3398          | 0.8792   | 0.8787    | 0.8792 | 0.8782 |
+| 0.303         | 4.6902 | 600  | 0.3401          | 0.8787   | 0.8785    | 0.8787 | 0.8775 |
+| 0.2713        | 5.0784 | 650  | 0.3506          | 0.8777   | 0.8791    | 0.8777 | 0.8757 |
+| 0.2702        | 5.4706 | 700  | 0.3512          | 0.8802   | 0.8812    | 0.8802 | 0.8782 |
+
+
+### Framework versions
+
+- Transformers 4.51.1
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1

config.json

@@ -0,0 +1,35 @@
+{
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "id2label": {
+    "0": "negative",
+    "1": "positive",
+    "2": "neutral"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "label2id": {
+    "negative": 0,
+    "neutral": 2,
+    "positive": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b386db39772c460d5962ff46e8daedd3bf416254c877bda765861914ef0f93b0
+size 133467916

runs/Apr16_16-31-06_9424de0d1b18/events.out.tfevents.1744821075.9424de0d1b18.1160.4

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:02648bf3ddc94317a77d3d6118b34d46cf3445658487e6b7e1551d3a65f00f5a
+size 15051

runs/Apr16_16-31-06_9424de0d1b18/events.out.tfevents.1744821423.9424de0d1b18.1160.5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:219870da5c4e013af4c78c0e565af41a29bcee4852e5983a8fbc276784ed8854
+size 560

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe5d8fbc84fbddca8ec57d0f18228c43cb54e1a5c73ba7afd1bc02e6b1682982
+size 5368