Model save
Browse files- README.md +69 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- generation_config.json +7 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +261 -0
- runs/Mar01_09-22-26_ip-26-0-165-24/events.out.tfevents.1709284978.ip-26-0-165-24.1220823.0 +3 -0
- runs/Mar01_09-22-26_ip-26-0-165-24/events.out.tfevents.1709290184.ip-26-0-165-24.1220823.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1314 -0
- training_args.bin +1 -1
README.md
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---
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license: other
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base_model: google/gemma-7b
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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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datasets:
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- generator
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model-index:
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- name: zephyr-7b-gemma-sft
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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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# zephyr-7b-gemma-sft
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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: 0.9732
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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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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 16
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- total_eval_batch_size: 64
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.9482 | 1.0 | 299 | 0.9848 |
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| 0.8139 | 2.0 | 599 | 0.9610 |
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| 0.722 | 2.99 | 897 | 0.9732 |
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.15.1
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all_results.json
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{
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"epoch": 2.99,
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"eval_loss": 0.973169207572937,
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"eval_runtime": 22.1864,
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"eval_samples": 500,
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"eval_samples_per_second": 86.224,
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"eval_steps_per_second": 1.352,
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"train_loss": 1.0022602648772259,
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"train_runtime": 5184.357,
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"train_samples": 9500,
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"train_samples_per_second": 22.178,
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"train_steps_per_second": 0.173
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}
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eval_results.json
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{
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"epoch": 2.99,
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"eval_loss": 0.973169207572937,
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"eval_runtime": 22.1864,
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"eval_samples": 500,
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"eval_samples_per_second": 86.224,
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"eval_steps_per_second": 1.352
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 2,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.39.0.dev0"
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}
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model-00001-of-00004.safetensors
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model.safetensors.index.json
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|
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"model.norm.weight": "model-00004-of-00004.safetensors"
|
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}
|
261 |
+
}
|
runs/Mar01_09-22-26_ip-26-0-165-24/events.out.tfevents.1709284978.ip-26-0-165-24.1220823.0
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 43817
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runs/Mar01_09-22-26_ip-26-0-165-24/events.out.tfevents.1709290184.ip-26-0-165-24.1220823.1
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:6ee2478a35515eaf14f48add419945785551e9382ec4eb1f857826a9729a79b2
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size 359
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train_results.json
ADDED
@@ -0,0 +1,8 @@
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{
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|
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|
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|
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|
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|
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"train_steps_per_second": 0.173
|
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}
|
trainer_state.json
ADDED
@@ -0,0 +1,1314 @@
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