End of training

README.md

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+---
+license: other
+base_model: deepseek-ai/deepseek-coder-6.7b-instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: deepseek-coder-6.7b-instruct_finetuned_manim_pile_context_FIM_1024
+  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. -->
+
+# deepseek-coder-6.7b-instruct_finetuned_manim_pile_context_FIM_1024
+
+This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6405
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 462  | 1.6572          |
+| 1.6976        | 2.0   | 925  | 1.6421          |
+| 1.63          | 3.0   | 1387 | 1.6406          |
+| 1.6295        | 4.0   | 1850 | 1.6405          |
+| 1.6256        | 4.99  | 2310 | 1.6405          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_model.safetensors

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 size 67126232

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 32013,
+  "eos_token_id": 32021,
+  "transformers_version": "4.38.2"
+}