End of training

README.md

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+---
+license: openrail
+tags:
+- generated_from_trainer
+model-index:
+- name: santacoder-finetuned-the-stack-rust
+  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-rust
+
+This model is a fine-tuned version of [bigcode/santacoder](https://huggingface.co/bigcode/santacoder) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7999
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 10000
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.2075        | 0.05  | 500   | 1.0610          |
+| 1.79          | 0.1   | 1000  | 1.0754          |
+| 1.2441        | 0.15  | 1500  | 1.0339          |
+| 1.1709        | 0.2   | 2000  | 0.9829          |
+| 0.7645        | 0.25  | 2500  | 0.9738          |
+| 1.0381        | 0.3   | 3000  | 0.9536          |
+| 1.0625        | 0.35  | 3500  | 0.9268          |
+| 0.78          | 0.4   | 4000  | 0.9130          |
+| 0.9294        | 0.45  | 4500  | 0.9001          |
+| 0.9767        | 0.5   | 5000  | 0.8857          |
+| 5.7027        | 0.55  | 5500  | 0.8728          |
+| 0.9476        | 0.6   | 6000  | 0.8556          |
+| 0.6185        | 0.65  | 6500  | 0.8404          |
+| 0.5057        | 0.7   | 7000  | 0.8328          |
+| 0.6451        | 0.75  | 7500  | 0.8199          |
+| 0.8298        | 0.8   | 8000  | 0.8111          |
+| 0.2447        | 0.85  | 8500  | 0.8069          |
+| 0.8177        | 0.9   | 9000  | 0.8020          |
+| 0.7184        | 0.95  | 9500  | 0.8003          |
+| 0.9166        | 1.0   | 10000 | 0.7999          |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.1+cu116
+- Datasets 2.7.1
+- Tokenizers 0.13.2

emissions.csv

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+timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
+2023-02-10T15:04:24,119d4d67-7cbd-4cca-8fd0-42fbd67043cb,codecarbon,3452.725793838501,0.20740063958016539,0.34772163928723976,Spain,ESP,murcia,N,,

runs/Feb10_14-06-39_2cb2cefa7ce2/events.out.tfevents.1676038011.2cb2cefa7ce2.1078.0

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