End of training

README.md

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+---
+license: mit
+base_model: mikhail-panzo/fil_weak_checkpoint
+tags:
+- generated_from_trainer
+model-index:
+- name: test_ceb_checkpoint
+  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. -->
+
+# test_ceb_checkpoint
+
+This model is a fine-tuned version of [mikhail-panzo/fil_weak_checkpoint](https://huggingface.co/mikhail-panzo/fil_weak_checkpoint) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4459
+
+## 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: 0.0004
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 20
+- training_steps: 50
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 2.78  | 25   | 0.4857          |
+| 0.5369        | 5.56  | 50   | 0.4459          |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 1876,
+  "pad_token_id": 1,
+  "transformers_version": "4.39.0.dev0"
+}

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runs/Apr17_15-36-53_mikhail-panzo-msi/events.out.tfevents.1713339443.mikhail-panzo-msi

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