martimfasantos
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Parent(s):
80007e5
End of training
Browse files
README.md
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license: apache-2.0
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library_name: peft
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tags:
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- trl
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- sft
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- generated_from_trainer
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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datasets:
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-
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model-index:
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- name: tinyllama-1.1b-sum-sft-qlora
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results: []
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# tinyllama-1.1b-sum-sft-qlora
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the
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It achieves the following results on the evaluation set:
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- Loss: 2.1290
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license: apache-2.0
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library_name: peft
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tags:
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- alignment-handbook
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- trl
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- sft
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- generated_from_trainer
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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datasets:
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- martimfasantos/openai-tldr-filtered
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model-index:
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- name: tinyllama-1.1b-sum-sft-qlora
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results: []
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# tinyllama-1.1b-sum-sft-qlora
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the martimfasantos/openai-tldr-filtered dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1290
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all_results.json
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{
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"epoch": 2.0,
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"train_loss": 2.139555886670503,
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"train_runtime": 20822.1805,
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"train_samples": 116722,
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{
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"epoch": 2.0,
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"eval_loss": 2.1289539337158203,
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"eval_runtime": 154.3101,
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"eval_samples": 6447,
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"eval_samples_per_second": 8.457,
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"eval_steps_per_second": 1.063,
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"train_loss": 2.139555886670503,
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"train_runtime": 20822.1805,
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"train_samples": 116722,
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eval_results.json
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{
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"epoch": 2.0,
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"eval_loss": 2.
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"eval_runtime":
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"eval_samples":
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"eval_samples_per_second": 8.
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"eval_steps_per_second": 1.
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}
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{
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"epoch": 2.0,
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"eval_loss": 2.1289539337158203,
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"eval_runtime": 154.3101,
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"eval_samples": 6447,
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"eval_samples_per_second": 8.457,
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"eval_steps_per_second": 1.063
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}
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runs/May06_09-59-06_poseidon/events.out.tfevents.1715010564.poseidon.1582807.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:93041589744cefabe7e38f0c3cdc322335bfe48ca810be6d36be47b341f34ec8
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size 359
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