Model save

README.md

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+---
+license: other
+base_model: microsoft/phi-1_5
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: phi-1_5-bees-internal-2048ctx-v1
+  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. -->
+
+# phi-1_5-bees-internal-2048ctx-v1
+
+This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6982
+- Accuracy: 0.4597
+
+## 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: 1
+- eval_batch_size: 2
+- seed: 80085
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.995) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.8637        | 0.38  | 50   | 2.8245          | 0.4432   |
+| 2.8443        | 0.76  | 100  | 2.7346          | 0.4532   |
+| 2.3276        | 1.14  | 150  | 2.7300          | 0.4561   |
+| 2.4647        | 1.52  | 200  | 2.7047          | 0.4586   |
+| 2.4516        | 1.9   | 250  | 2.6982          | 0.4597   |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.2.0.dev20230914+cu121
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "transformers_version": "4.34.0.dev0"
+}

model.safetensors

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