End of training

README.md

@@ -0,0 +1,65 @@
+---
+base_model: microsoft/codebert-base
+tags:
+- generated_from_trainer
+model-index:
+- name: santacoder-finetuned-the-stack-bash
+  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. -->
+
+# santacoder-finetuned-the-stack-bash
+
+This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4920
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 3500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 4.3682        | 0.14  | 500  | 4.6028          |
+| 3.0913        | 0.29  | 1000 | 3.3129          |
+| 3.0878        | 0.43  | 1500 | 2.8594          |
+| 3.3334        | 0.57  | 2000 | 2.6359          |
+| 3.1875        | 0.71  | 2500 | 2.5355          |
+| 2.7736        | 0.86  | 3000 | 2.5017          |
+| 3.152         | 1.0   | 3500 | 2.4920          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

@@ -0,0 +1,8 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.35.0",
+  "use_cache": false
+}