End of training

README.md

@@ -0,0 +1,60 @@
+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+datasets:
+- generator
+model-index:
+- name: Mistral-7B-Instruct-v0.2_Sparql
+  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. -->
+
+# Mistral-7B-Instruct-v0.2_Sparql
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.0
+- Pytorch 2.2.2+cu121
+- Datasets 2.14.7
+- Tokenizers 0.19.1

emissions.csv

@@ -0,0 +1,2 @@
+timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
+2024-04-22T12:10:57,codecarbon,853cd43c-670a-4762-81c2-6e118abbdb17,45354.17931127548,2.60667831659625,5.747382834790277e-05,42.5,113.38900000000001,282.9638342857361,0.5354237719835501,3.264650560783333,3.556835769193379,7.356910101960251,Germany,DEU,,,,Linux-6.2.10-kd-cluster-x86_64-with-glibc2.31,3.9.2,2.2.3,64,Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz,2,2 x Tesla V100S-PCIE-32GB,9.491,51.2993,754.5702247619629,machine,N,1.0