Commit
•
afad01f
1
Parent(s):
a866ba4
Model save
Browse files- README.md +62 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- generation_config.json +7 -0
- model.safetensors +1 -1
- runs/Jan04_10-59-27_VincentPC/events.out.tfevents.1704383987.VincentPC.18585.0 +2 -2
- runs/Jan04_10-59-27_VincentPC/events.out.tfevents.1704391055.VincentPC.18585.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +1988 -0
README.md
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---
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license: apache-2.0
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base_model: BEE-spoke-data/smol_llama-220M-openhermes
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tags:
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- generated_from_trainer
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model-index:
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- name: zephyr-220m-sft-full
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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-220m-sft-full
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This model is a fine-tuned version of [BEE-spoke-data/smol_llama-220M-openhermes](https://huggingface.co/BEE-spoke-data/smol_llama-220M-openhermes) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6579
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- total_eval_batch_size: 32
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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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- 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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| 1.6447 | 1.0 | 1624 | 1.6579 |
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### Framework versions
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- Transformers 4.37.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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all_results.json
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{
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"epoch": 1.0,
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"eval_loss": 1.6579183340072632,
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"eval_runtime": 192.8742,
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"eval_samples": 23110,
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"eval_samples_per_second": 119.819,
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"eval_steps_per_second": 3.749,
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"train_loss": 1.737739272305531,
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"train_runtime": 6874.8829,
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"train_samples": 207865,
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"train_samples_per_second": 30.235,
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"train_steps_per_second": 0.236
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}
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eval_results.json
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{
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"epoch": 1.0,
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"eval_loss": 1.6579183340072632,
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"eval_runtime": 192.8742,
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"eval_samples": 23110,
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"eval_samples_per_second": 119.819,
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"eval_steps_per_second": 3.749
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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": 1,
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"eos_token_id": 2,
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"transformers_version": "4.37.0.dev0",
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"use_cache": false
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}
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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 435736840
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version https://git-lfs.github.com/spec/v1
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oid sha256:c096b823052ca5f6019f43d2b7ad42ad56099f82340c5d7603db6bd0ef09c345
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size 435736840
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runs/Jan04_10-59-27_VincentPC/events.out.tfevents.1704383987.VincentPC.18585.0
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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:f80683af1b15bfaa97bd452ae7ae51fdfa28ef827ce37396e09bd2e0570180bc
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size 56082
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runs/Jan04_10-59-27_VincentPC/events.out.tfevents.1704391055.VincentPC.18585.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:3fe1d4b475dd77000130d87496121cc3a841435b37e01036b627091ed59017db
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size 359
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 1.737739272305531,
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"train_runtime": 6874.8829,
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"train_samples": 207865,
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"train_samples_per_second": 30.235,
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"train_steps_per_second": 0.236
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}
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trainer_state.json
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