alexredna commited on
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Model save

Browse files
README.md CHANGED
@@ -1,4 +1,5 @@
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  ---
 
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  library_name: peft
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  tags:
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  - trl
@@ -6,7 +7,7 @@ tags:
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  - generated_from_trainer
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  datasets:
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  - generator
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- base_model: data/Tukan-1.1B-Chat-reasoning-sft_merged
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  model-index:
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  - name: Tukan-1.1B-Chat-reasoning-sft
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  results: []
@@ -17,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # Tukan-1.1B-Chat-reasoning-sft
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- This model was trained from scratch on the generator dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0432
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  ## Model description
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@@ -47,16 +48,33 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 120
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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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- | 1.0776 | 0.24 | 10 | 1.0586 |
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- | 1.0657 | 0.47 | 20 | 1.0499 |
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- | 1.0643 | 0.71 | 30 | 1.0446 |
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- | 1.0473 | 0.94 | 40 | 1.0432 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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+ license: apache-2.0
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  library_name: peft
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  tags:
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  - trl
 
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  - generated_from_trainer
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  datasets:
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  - generator
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+ base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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  model-index:
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  - name: Tukan-1.1B-Chat-reasoning-sft
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  results: []
 
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  # Tukan-1.1B-Chat-reasoning-sft
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+ This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on the generator dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0196
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  ## Model description
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  - total_train_batch_size: 120
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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: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.3366 | 0.24 | 10 | 1.2783 |
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+ | 1.2563 | 0.47 | 20 | 1.2321 |
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+ | 1.2289 | 0.71 | 30 | 1.2012 |
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+ | 1.1534 | 1.18 | 50 | 1.1306 |
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+ | 1.1254 | 1.42 | 60 | 1.1037 |
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+ | 1.1011 | 1.65 | 70 | 1.0882 |
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+ | 1.0517 | 2.59 | 110 | 1.0459 |
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+ | 1.0289 | 2.83 | 120 | 1.0389 |
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+ | 1.0564 | 3.07 | 130 | 1.0332 |
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+ | 1.034 | 3.3 | 140 | 1.0288 |
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+ | 1.0337 | 3.54 | 150 | 1.0253 |
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+ | 1.0312 | 4.01 | 170 | 1.0213 |
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+ | 1.0207 | 4.25 | 180 | 1.0204 |
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+ | 1.0271 | 4.48 | 190 | 1.0198 |
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+ | 1.0351 | 4.72 | 200 | 1.0197 |
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+ | 1.0339 | 4.95 | 210 | 1.0196 |
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