End of training

README.md

@@ -0,0 +1,63 @@
+---
+base_model: ai-forever/ruBert-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: cc-rank-large
+  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. -->
+
+# cc-rank-large
+
+This model is a fine-tuned version of [ai-forever/ruBert-large](https://huggingface.co/ai-forever/ruBert-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8567
+- Accuracy: 0.7972
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.6389        | 0.5666 | 200  | 0.5407          | 0.7191   |
+| 0.4392        | 1.1331 | 400  | 0.4775          | 0.7929   |
+| 0.2205        | 1.6997 | 600  | 0.6664          | 0.7759   |
+| 0.1778        | 2.2663 | 800  | 1.0319          | 0.7858   |
+| 0.1502        | 2.8329 | 1000 | 0.8464          | 0.7986   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json

@@ -0,0 +1,32 @@
+{
+  "_name_or_path": "ai-forever/ruBert-large",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "directionality": "bidi",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "pooler_fc_size": 768,
+  "pooler_num_attention_heads": 12,
+  "pooler_num_fc_layers": 3,
+  "pooler_size_per_head": 128,
+  "pooler_type": "first_token_transform",
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 120138
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cae982cb28160fd00d34a45a41204687163c43bbc9335bd8a662058f0d03d25a
+size 1707690136

runs/Jul05_04-18-45_1e32bdfad55b/events.out.tfevents.1720153133.1e32bdfad55b.232.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:21baabf533d560a56663f5823371374d90d4f428aaf92e1e85dfd350ad90089b
+size 29024

runs/Jul05_04-18-45_1e32bdfad55b/events.out.tfevents.1720156241.1e32bdfad55b.232.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5963b12b3663933e40adde93eca4d4f0c7e9dc8c3d3eb0b357ba6046150459de
+size 411

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c939651212a0941ac6a48589d248688d3e6138a3fee323de9bb3c98cb2abebeb
+size 5048