diff --git "a/training_log_2024.02.18_17.16.40.log" "b/training_log_2024.02.18_17.16.40.log"
new file mode 100644--- /dev/null
+++ "b/training_log_2024.02.18_17.16.40.log"
@@ -0,0 +1,42 @@
+wandb: Currently logged in as: laurence_r. Use `wandb login --relogin` to force relogin
+wandb: Tracking run with wandb version 0.16.3
+wandb: Run data is saved locally in /home/ubuntu/torchtune-colorful-llama/colorful/wandb/run-20240218_171649-qsv24pfw
+wandb: Run `wandb offline` to turn off syncing.
+wandb: Syncing run lucky-envelope-8
+wandb: ⭐️ View project at https://wandb.ai/laurence_r/colorful-llama
+wandb: 🚀 View run at https://wandb.ai/laurence_r/colorful-llama/runs/qsv24pfw
+Setting manual seed to local seed 42. Local seed is seed + rank = 42 + 0
+Model is initialized. FSDP and Activation Checkpointing are enabled.
+Compiling model using torch.compile. The first batch may take a few minutes while compilation occurs.
+Tokenizer is initialized from file.
+Optimizer is initialized.
+Loss is initialized.
+Dataset and Sampler are initialized.
+
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1|2020|Loss: 5.0668206214904785:  31%|███       | 2019/6470 [28:25<52:28,  1.41it/s]
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+Model checkpoint of size 25961 MB saved to output/alpaca-colorful-llama2-finetune/model_0_6470.ckpt
+Skipping uploading to HuggingFace Hub (no repo id specified)
+
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2|1970|Loss: 0.9469103813171387:  30%|███       | 1969/6470 [24:38<58:24,  1.28it/s]
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2|1978|Loss: 0.7440468072891235:  31%|███       | 1977/6470 [24:44<54:54,  1.36it/s]
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2|1980|Loss: 0.955491840839386:  31%|███       | 1979/6470 [24:45<46:23,  1.61it/s] 
2|1980|Loss: 0.955491840839386:  31%|███       | 1980/6470 [24:45<48:40,  1.54it/s]
2|1981|Loss: 0.8956158757209778:  31%|███       | 1980/6470 [24:46<48:40,  1.54it/s]
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2|1986|Loss: 0.809969425201416:  31%|███       | 1985/6470 [24:49<51:00,  1.47it/s] 
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2|1989|Loss: 0.9479062557220459:  31%|███       | 1988/6470 [24:52<53:50,  1.39it/s]
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2|1991|Loss: 0.8691588044166565:  31%|███       | 1990/6470 [24:53<52:19,  1.43it/s]
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2|1996|Loss: 0.794035792350769:  31%|███       | 1995/6470 [24:57<57:14,  1.30it/s] 
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2|1998|Loss: 0.866498589515686:  31%|███       | 1997/6470 [24:59<1:02:12,  1.20it/s] 
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2|2010|Loss: 0.7690721154212952:  31%|███       | 2009/6470 [25:07<45:36,  1.63it/s]
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2|2011|Loss: 0.841306746006012:  31%|███       | 2010/6470 [25:08<47:43,  1.56it/s] 
2|2011|Loss: 0.841306746006012:  31%|███       | 2011/6470 [25:08<45:19,  1.64it/s]
2|2012|Loss: 0.7974108457565308:  31%|███       | 2011/6470 [25:09<45:19,  1.64it/s]
2|2012|Loss: 0.7974108457565308:  31%|███       | 2012/6470 [25:09<45:43,  1.62it/s]
2|2013|Loss: 0.8571712374687195:  31%|███       | 2012/6470 [25:09<45:43,  1.62it/s]
2|2013|Loss: 0.8571712374687195:  31%|███       | 2013/6470 [25:09<46:20,  1.60it/s]
2|2014|Loss: 0.8151755332946777:  31%|███       | 2013/6470 [25:10<46:20,  1.60it/s]
2|2014|Loss: 0.8151755332946777:  31%|███       | 2014/6470 [25:10<46:17,  1.60it/s]
2|2015|Loss: 0.7149540781974792:  31%|███       | 2014/6470 [25:11<46:17,  1.60it/s]
2|2015|Loss: 0.7149540781974792:  31%|███       | 2015/6470 [25:11<52:24,  1.42it/s]
2|2016|Loss: 0.8376208543777466:  31%|███       | 2015/6470 [25:11<52:24,  1.42it/s]
2|2016|Loss: 0.8376208543777466:  31%|███       | 2016/6470 [25:12<55:38,  1.33it/s]
2|2017|Loss: 0.917455792427063:  31%|███       | 2016/6470 [25:12<55:38,  1.33it/s] 
2|2017|Loss: 0.917455792427063:  31%|███       | 2017/6470 [25:13<56:41,  1.31it/s]
2|2018|Loss: 0.8935052156448364:  31%|███       | 2017/6470 [25:13<56:41,  1.31it/s]
2|2018|Loss: 0.8935052156448364:  31%|███       | 2018/6470 [25:13<56:52,  1.30it/s]
2|2019|Loss: 0.7183212637901306:  31%|███       | 2018/6470 [25:14<56:52,  1.30it/s]
2|2019|Loss: 0.7183212637901306:  31%|███       | 2019/6470 [25:14<57:15,  1.30it/s]
2|2020|Loss: 0.9172791838645935:  31%|███       | 2019/6470 [25:15<57:15,  1.30it/s]
2|2020|Loss: 0.9172791838645935:  31%|███       | 2020/6470 [25:15<55:32,  1.34it/s]
2|2021|Loss: 0.7799006700515747:  31%|███       | 2020/6470 [25:15<55:32,  1.34it/s]
2|2021|Loss: 0.7799006700515747:  31%|███       | 2021/6470 [25:16<57:36,  1.29it/s]
2|2022|Loss: 0.8586345314979553:  31%|███       | 2021/6470 [25:16<57:36,  1.29it/s]
2|2022|Loss: 0.8586345314979553:  31%|███▏      | 2022/6470 [25:17<58:28,  1.27it/s]
2|2023|Loss: 0.81160569190979:  31%|███▏      | 2022/6470 [25:17<58:28,  1.27it/s]  
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+Model checkpoint of size 25961 MB saved to output/alpaca-colorful-llama2-finetune/model_1_12940.ckpt
+Skipping uploading to HuggingFace Hub (no repo id specified)
+
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3|2015|Loss: 0.9021303057670593:  31%|███       | 2014/6470 [24:51<57:46,  1.29it/s]
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3|2020|Loss: 0.8953713774681091:  31%|███       | 2019/6470 [24:55<53:06,  1.40it/s]
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+Model checkpoint of size 25961 MB saved to output/alpaca-colorful-llama2-finetune/model_2_19410.ckpt
+Skipping uploading to HuggingFace Hub (no repo id specified)
+
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4|2012|Loss: 0.8145232796669006:  31%|███       | 2011/6470 [24:58<59:21,  1.25it/s]
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4|2013|Loss: 1.0366296768188477:  31%|███       | 2012/6470 [24:58<55:53,  1.33it/s]
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4|2015|Loss: 0.9429175853729248:  31%|███       | 2014/6470 [24:59<51:30,  1.44it/s]
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4|2016|Loss: 0.923092246055603:  31%|███       | 2015/6470 [25:00<48:18,  1.54it/s] 
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4|2017|Loss: 0.9974385499954224:  31%|███       | 2016/6470 [25:01<52:49,  1.41it/s]
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4|2019|Loss: 0.9468725323677063:  31%|███       | 2018/6470 [25:03<1:02:38,  1.18it/s]
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4|2020|Loss: 0.783587634563446:  31%|███       | 2019/6470 [25:04<59:09,  1.25it/s] 
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4|2021|Loss: 0.7062343955039978:  31%|███       | 2020/6470 [25:04<59:20,  1.25it/s]
4|2021|Loss: 0.7062343955039978:  31%|███       | 2021/6470 [25:05<58:44,  1.26it/s]
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4|2026|Loss: 0.8525316119194031:  31%|███▏      | 2025/6470 [25:08<51:46,  1.43it/s]
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4|6470|Loss: 1.0032275915145874: 100%|██████████| 6470/6470 [1:20:23<00:00,  1.34it/s]
+Model checkpoint of size 25961 MB saved to output/alpaca-colorful-llama2-finetune/model_3_25880.ckpt
+Skipping uploading to HuggingFace Hub (no repo id specified)
+wandb: - 0.004 MB of 0.004 MB uploaded
wandb: \ 0.004 MB of 0.020 MB uploaded
wandb: | 0.004 MB of 0.020 MB uploaded
wandb: / 0.020 MB of 0.020 MB uploaded
wandb:                                                                                
+wandb: 
+wandb: Run history:
+wandb: gpu_resources ▄▇▅▇▄▃▃▅▃▅▆▅▅▄▅▄▆▆▄▇▆▃▆▃▂▇▅▇▄▇▂▂▄█���▄▅▁▄▁
+wandb:          loss ██▇▇▆▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
+wandb:            lr ▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁
+wandb: 
+wandb: Run summary:
+wandb: gpu_resources 44811305472
+wandb:          loss 1.00323
+wandb:            lr 2e-05
+wandb: 
+wandb: 🚀 View run lucky-envelope-8 at: https://wandb.ai/laurence_r/colorful-llama/runs/qsv24pfw
+wandb: ️⚡ View job at https://wandb.ai/laurence_r/colorful-llama/jobs/QXJ0aWZhY3RDb2xsZWN0aW9uOjE0MDkwNjI2OA==/version_details/v0
+wandb: Synced 5 W&B file(s), 0 media file(s), 0 artifact file(s) and 0 other file(s)
+wandb: Find logs at: ./wandb/run-20240218_171649-qsv24pfw/logs