Instructions to use sravanthib/s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sravanthib/s with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-7B-Instruct") model = PeftModel.from_pretrained(base_model, "sravanthib/s") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 10
Browse files- adapter_config.json +5 -5
- adapter_model.safetensors +1 -1
- all_results.json +4 -4
- train_results.json +4 -4
- trainer_state.json +6 -6
- training_args.bin +2 -2
adapter_config.json
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@@ -23,13 +23,13 @@
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"
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"
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"gate_proj",
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"q_proj",
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"
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"o_proj",
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"gate_proj",
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"q_proj",
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"up_proj",
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"v_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 40422208
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c17c6d63ee44d5f0f9d7423db898bd7559e2aab1b8b61c7c4cbbfc82051b577
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size 40422208
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all_results.json
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{
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"epoch": 0.2,
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"total_flos": 1.7426360578342912e+16,
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"train_loss": 4.
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"train_runtime":
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"train_samples_per_second": 1.
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"train_steps_per_second": 0.
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}
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{
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"epoch": 0.2,
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"total_flos": 1.7426360578342912e+16,
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"train_loss": 4.369424438476562,
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"train_runtime": 140.6651,
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"train_samples_per_second": 1.422,
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"train_steps_per_second": 0.071
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}
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train_results.json
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{
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"epoch": 0.2,
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"total_flos": 1.7426360578342912e+16,
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"train_loss": 4.
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"train_runtime":
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"train_samples_per_second": 1.
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"train_steps_per_second": 0.
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}
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{
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"epoch": 0.2,
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"total_flos": 1.7426360578342912e+16,
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"train_loss": 4.369424438476562,
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"train_runtime": 140.6651,
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"train_samples_per_second": 1.422,
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"train_steps_per_second": 0.071
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}
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trainer_state.json
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"log_history": [
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{
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"epoch": 0.2,
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"grad_norm": 0.
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"learning_rate": 0.0001,
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"loss": 4.
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"step": 10
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},
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{
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"epoch": 0.2,
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"step": 10,
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"total_flos": 1.7426360578342912e+16,
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-
"train_loss": 4.
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-
"train_runtime":
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-
"train_samples_per_second": 1.
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"train_steps_per_second": 0.
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}
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],
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"logging_steps": 10,
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"log_history": [
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{
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"epoch": 0.2,
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"grad_norm": 0.32396775484085083,
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"learning_rate": 0.0001,
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"loss": 4.3694,
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"step": 10
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},
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{
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"epoch": 0.2,
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"step": 10,
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"total_flos": 1.7426360578342912e+16,
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+
"train_loss": 4.369424438476562,
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+
"train_runtime": 140.6651,
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+
"train_samples_per_second": 1.422,
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"train_steps_per_second": 0.071
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}
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],
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"logging_steps": 10,
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a15a636d4d7e70698b06a84115b19a8959a8dcf22ad59eec5d7ebb180d2664e
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size 9464
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