Instructions to use gulaschnascher4000/lora_0-5_3B-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gulaschnascher4000/lora_0-5_3B-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-3B-Instruct") model = PeftModel.from_pretrained(base_model, "gulaschnascher4000/lora_0-5_3B-instruct") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +4 -1
- all_results.json +12 -0
- eval_results.json +7 -0
- runs/Jan16_18-37-53_pss5xry2f0aq/events.out.tfevents.1737064238.pss5xry2f0aq.173203.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +2261 -0
- training_loss.png +0 -0
README.md
CHANGED
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@@ -4,6 +4,7 @@ license: llama3.2
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base_model: meta-llama/Llama-3.2-3B-Instruct
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tags:
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- llama-factory
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- generated_from_trainer
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model-index:
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- name: lora_0-5_3B-instruct
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# lora_0-5_3B-instruct
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the
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## Model description
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base_model: meta-llama/Llama-3.2-3B-Instruct
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tags:
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- llama-factory
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+
- lora
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- generated_from_trainer
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model-index:
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- name: lora_0-5_3B-instruct
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# lora_0-5_3B-instruct
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+
This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on the gulaschnascher4000/stream-dataset-0-2, the identity-chatgulaschpt, the dolly_15k_de, the alpaca-gpt4_de, the ultrachat_de, the airoboros_de, the booksum_de, the dolphin_de, the evol_instruct_de, the dolly_15k_de and the oasst_de datasets.
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It achieves the following results on the evaluation set:
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- Loss: 1.2895
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## Model description
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all_results.json
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{
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"epoch": 0.10001577535888942,
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"eval_loss": 1.2895190715789795,
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"eval_runtime": 1808.3028,
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"eval_samples_per_second": 15.58,
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"eval_steps_per_second": 15.58,
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"total_flos": 7.093787845892506e+17,
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"train_loss": 1.1559843716185176,
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"train_runtime": 9587.5735,
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"train_samples_per_second": 2.645,
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"train_steps_per_second": 0.331
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}
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eval_results.json
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{
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"epoch": 0.10001577535888942,
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"eval_loss": 1.2895190715789795,
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+
"eval_runtime": 1808.3028,
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+
"eval_samples_per_second": 15.58,
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"eval_steps_per_second": 15.58
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}
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runs/Jan16_18-37-53_pss5xry2f0aq/events.out.tfevents.1737064238.pss5xry2f0aq.173203.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:d46d9e5cdcb79d3381b43ef2f297a00f761f8d2e59fc56690d7dd36d8074479c
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size 359
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train_results.json
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{
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"epoch": 0.10001577535888942,
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"total_flos": 7.093787845892506e+17,
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"train_loss": 1.1559843716185176,
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"train_runtime": 9587.5735,
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"train_samples_per_second": 2.645,
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"train_steps_per_second": 0.331
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}
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trainer_state.json
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