Model save

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: results_model8_new
+  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. -->
+
+# results_model8_new
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.8002
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 30
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step   | Validation Loss |
+|:-------------:|:-------:|:------:|:---------------:|
+| 6.3402        | 1.1141  | 10000  | 6.2499          |
+| 6.0161        | 2.2282  | 20000  | 5.9371          |
+| 5.7976        | 3.3422  | 30000  | 5.8868          |
+| 5.5778        | 4.4563  | 40000  | 5.8308          |
+| 5.4306        | 5.5704  | 50000  | 5.8110          |
+| 5.3332        | 6.6845  | 60000  | 5.8593          |
+| 5.2095        | 7.7986  | 70000  | 5.8150          |
+| 5.1312        | 8.9127  | 80000  | 5.7984          |
+| 5.0266        | 10.0267 | 90000  | 5.8415          |
+| 4.9492        | 11.1408 | 100000 | 5.8116          |
+| 4.9416        | 12.2549 | 110000 | 5.8231          |
+| 4.8767        | 13.3690 | 120000 | 5.7562          |
+| 4.8295        | 14.4831 | 130000 | 5.7837          |
+| 4.7927        | 15.5971 | 140000 | 5.7813          |
+| 4.7876        | 16.7112 | 150000 | 5.7653          |
+| 4.7466        | 17.8253 | 160000 | 5.7583          |
+| 4.7208        | 18.9394 | 170000 | 5.8002          |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

best/config.json

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+{
+  "architectures": [
+    "TransformerNet"
+  ],
+  "d_model": 512,
+  "dim_feedforward": 1024,
+  "dropout": 0.1,
+  "input_dim": 30000,
+  "max_seq_len": 850,
+  "model_type": "transformer",
+  "nhead": 8,
+  "num_decoder_layers": 6,
+  "num_encoder_layers": 6,
+  "output_dim": 30000,
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.2"
+}

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best/training_args.bin

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