Model save

README.md

@@ -0,0 +1,62 @@
+---
+library_name: transformers
+base_model: bowphs/pythia-70m-multi
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: debugging
+  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. -->
+
+# debugging
+
+This model is a fine-tuned version of [bowphs/pythia-70m-multi](https://huggingface.co/bowphs/pythia-70m-multi) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.0273
+- Accuracy: 0.2826
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- 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
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 4.4846        | 1.0   | 5488  | 4.4230          | 0.2390   |
+| 4.1079        | 2.0   | 10976 | 4.1156          | 0.2717   |
+| 3.9841        | 3.0   | 16464 | 4.0273          | 0.2826   |
+
+
+### Framework versions
+
+- Transformers 4.48.0.dev0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.48.0.dev0"
+}