Model save
Browse files- README.md +85 -0
- all_results.json +9 -0
- runs/Sep24_03-52-28_2e80285b3fe9/events.out.tfevents.1727149993.2e80285b3fe9.212457.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +2248 -0
README.md
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| 1 |
+
---
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base_model: google/gemma-7b
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datasets:
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- generator
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library_name: peft
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license: gemma
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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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model-index:
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- name: gemma7b-gpt4o_1k_summarize-kasalora
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# gemma7b-gpt4o_1k_summarize-kasalora
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3362
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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The following `bitsandbytes` quantization config was used during training:
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- quant_method: QuantizationMethod.BITS_AND_BYTES
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- _load_in_8bit: True
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- _load_in_4bit: False
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- llm_int8_threshold: 6.0
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- llm_int8_skip_modules: None
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- llm_int8_enable_fp32_cpu_offload: False
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- llm_int8_has_fp16_weight: False
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- bnb_4bit_quant_type: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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- bnb_4bit_quant_storage: uint8
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- load_in_4bit: False
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- load_in_8bit: True
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 1
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- total_eval_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.8292 | 0.9997 | 1567 | 2.3362 |
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### Framework versions
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- PEFT 0.6.3.dev0
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9996810207336523,
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"total_flos": 6.008655759456338e+17,
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"train_loss": 1.5068606398405355,
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"train_runtime": 9641.8347,
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"train_samples": 115376,
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"train_samples_per_second": 1.3,
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"train_steps_per_second": 0.163
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}
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runs/Sep24_03-52-28_2e80285b3fe9/events.out.tfevents.1727149993.2e80285b3fe9.212457.0
CHANGED
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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 sha256:03bfa1e334cead1b984805789c6238ae567cd2f706298e48fc437f7f6c0af79a
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size 73431
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train_results.json
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{
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"epoch": 0.9996810207336523,
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"total_flos": 6.008655759456338e+17,
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"train_loss": 1.5068606398405355,
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"train_runtime": 9641.8347,
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"train_samples": 115376,
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"train_samples_per_second": 1.3,
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"train_steps_per_second": 0.163
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}
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trainer_state.json
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