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End of training

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  1. README.md +19 -14
  2. tokenizer.json +1 -6
README.md CHANGED
@@ -5,18 +5,18 @@ base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: tinyllama-form-gen-v2-10epoch
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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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- # tinyllama-form-gen-v2-10epoch
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2711
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  ## Model description
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@@ -43,23 +43,28 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 4
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 10
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.6432 | 1.0 | 11 | 0.5982 |
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- | 0.5264 | 2.0 | 22 | 0.4917 |
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- | 0.4407 | 3.0 | 33 | 0.3981 |
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- | 0.3384 | 4.0 | 44 | 0.3466 |
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- | 0.3049 | 5.0 | 55 | 0.3172 |
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- | 0.262 | 6.0 | 66 | 0.2967 |
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- | 0.2537 | 7.0 | 77 | 0.2852 |
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- | 0.2436 | 8.0 | 88 | 0.2772 |
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- | 0.2109 | 9.0 | 99 | 0.2718 |
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- | 0.2099 | 10.0 | 110 | 0.2711 |
 
 
 
 
 
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: tinyllama-form-gen-v2-15epoch
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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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+ # tinyllama-form-gen-v2-15epoch
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2239
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  ## Model description
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  - total_train_batch_size: 4
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 15
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.6428 | 1.0 | 11 | 0.5965 |
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+ | 0.5231 | 2.0 | 22 | 0.4848 |
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+ | 0.4323 | 3.0 | 33 | 0.3889 |
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+ | 0.3284 | 4.0 | 44 | 0.3361 |
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+ | 0.2941 | 5.0 | 55 | 0.3050 |
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+ | 0.2494 | 6.0 | 66 | 0.2824 |
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+ | 0.2379 | 7.0 | 77 | 0.2704 |
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+ | 0.2247 | 8.0 | 88 | 0.2578 |
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+ | 0.1871 | 9.0 | 99 | 0.2466 |
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+ | 0.1724 | 10.0 | 110 | 0.2404 |
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+ | 0.1624 | 11.0 | 121 | 0.2320 |
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+ | 0.1544 | 12.0 | 132 | 0.2295 |
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+ | 0.1492 | 13.0 | 143 | 0.2278 |
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+ | 0.149 | 14.0 | 154 | 0.2250 |
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+ | 0.1514 | 15.0 | 165 | 0.2239 |
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  ### Framework versions
tokenizer.json CHANGED
@@ -1,11 +1,6 @@
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  {
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  "version": "1.0",
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- "truncation": {
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- "direction": "Right",
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- "max_length": 2048,
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- "strategy": "LongestFirst",
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- "stride": 0
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- },
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  "padding": null,
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  "added_tokens": [
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  {
 
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  {
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  "version": "1.0",
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+ "truncation": null,
 
 
 
 
 
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  "padding": null,
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  "added_tokens": [
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  {