Upload entire model folder
Browse files- out/situglu_run/README.md +97 -0
- out/situglu_run/chat_template.jinja +15 -0
out/situglu_run/README.md
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
model-index:
|
| 6 |
+
- name: tiny-llama-baseline-situglu
|
| 7 |
+
results: []
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 11 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 12 |
+
|
| 13 |
+
# tiny-llama-baseline-situglu
|
| 14 |
+
|
| 15 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
| 16 |
+
It achieves the following results on the evaluation set:
|
| 17 |
+
- Loss: 1.3839
|
| 18 |
+
|
| 19 |
+
## Model description
|
| 20 |
+
|
| 21 |
+
More information needed
|
| 22 |
+
|
| 23 |
+
## Intended uses & limitations
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Training and evaluation data
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training procedure
|
| 32 |
+
|
| 33 |
+
### Training hyperparameters
|
| 34 |
+
|
| 35 |
+
The following hyperparameters were used during training:
|
| 36 |
+
- learning_rate: 0.0003
|
| 37 |
+
- train_batch_size: 32
|
| 38 |
+
- eval_batch_size: 32
|
| 39 |
+
- seed: 42
|
| 40 |
+
- gradient_accumulation_steps: 2
|
| 41 |
+
- total_train_batch_size: 64
|
| 42 |
+
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 43 |
+
- lr_scheduler_type: constant
|
| 44 |
+
- training_steps: 10000
|
| 45 |
+
|
| 46 |
+
### Training results
|
| 47 |
+
|
| 48 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 49 |
+
|:-------------:|:------:|:-----:|:---------------:|
|
| 50 |
+
| 5.8313 | 0.0159 | 250 | 2.8854 |
|
| 51 |
+
| 4.6325 | 0.0319 | 500 | 2.3345 |
|
| 52 |
+
| 4.1802 | 0.0478 | 750 | 2.0870 |
|
| 53 |
+
| 3.8631 | 0.0637 | 1000 | 1.9404 |
|
| 54 |
+
| 3.7073 | 0.0796 | 1250 | 1.8444 |
|
| 55 |
+
| 3.5027 | 0.0956 | 1500 | 1.7725 |
|
| 56 |
+
| 3.4414 | 0.1115 | 1750 | 1.7238 |
|
| 57 |
+
| 3.3564 | 0.1274 | 2000 | 1.6845 |
|
| 58 |
+
| 3.3003 | 0.1433 | 2250 | 1.6524 |
|
| 59 |
+
| 3.1822 | 0.1593 | 2500 | 1.6235 |
|
| 60 |
+
| 3.1618 | 0.1752 | 2750 | 1.5997 |
|
| 61 |
+
| 3.1667 | 0.1911 | 3000 | 1.5814 |
|
| 62 |
+
| 3.1793 | 0.2071 | 3250 | 1.5652 |
|
| 63 |
+
| 3.1133 | 0.2230 | 3500 | 1.5505 |
|
| 64 |
+
| 3.0683 | 0.2389 | 3750 | 1.5347 |
|
| 65 |
+
| 3.0116 | 0.2548 | 4000 | 1.5229 |
|
| 66 |
+
| 3.0286 | 0.2708 | 4250 | 1.5121 |
|
| 67 |
+
| 2.9835 | 0.2867 | 4500 | 1.5008 |
|
| 68 |
+
| 2.9524 | 0.3026 | 4750 | 1.4927 |
|
| 69 |
+
| 2.9365 | 0.3185 | 5000 | 1.4838 |
|
| 70 |
+
| 2.9148 | 0.3345 | 5250 | 1.4760 |
|
| 71 |
+
| 2.9646 | 0.3504 | 5500 | 1.4690 |
|
| 72 |
+
| 2.9633 | 0.3663 | 5750 | 1.4613 |
|
| 73 |
+
| 2.9265 | 0.3823 | 6000 | 1.4567 |
|
| 74 |
+
| 2.9072 | 0.3982 | 6250 | 1.4485 |
|
| 75 |
+
| 2.8895 | 0.4141 | 6500 | 1.4441 |
|
| 76 |
+
| 2.8846 | 0.4300 | 6750 | 1.4385 |
|
| 77 |
+
| 2.8704 | 0.4460 | 7000 | 1.4334 |
|
| 78 |
+
| 2.8507 | 0.4619 | 7250 | 1.4272 |
|
| 79 |
+
| 2.8462 | 0.4778 | 7500 | 1.4215 |
|
| 80 |
+
| 2.8561 | 0.4937 | 7750 | 1.4190 |
|
| 81 |
+
| 2.7884 | 0.5097 | 8000 | 1.4141 |
|
| 82 |
+
| 2.8249 | 0.5256 | 8250 | 1.4105 |
|
| 83 |
+
| 2.8453 | 0.5415 | 8500 | 1.4060 |
|
| 84 |
+
| 2.7967 | 0.5574 | 8750 | 1.4015 |
|
| 85 |
+
| 2.8201 | 0.5734 | 9000 | 1.3981 |
|
| 86 |
+
| 2.7965 | 0.5893 | 9250 | 1.3942 |
|
| 87 |
+
| 2.7560 | 0.6052 | 9500 | 1.3919 |
|
| 88 |
+
| 2.7896 | 0.6212 | 9750 | 1.3868 |
|
| 89 |
+
| 2.7553 | 0.6371 | 10000 | 1.3839 |
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
### Framework versions
|
| 93 |
+
|
| 94 |
+
- Transformers 5.15.0.dev0
|
| 95 |
+
- Pytorch 2.6.0+cu124
|
| 96 |
+
- Datasets 5.0.1
|
| 97 |
+
- Tokenizers 0.22.2
|
out/situglu_run/chat_template.jinja
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% for message in messages %}
|
| 2 |
+
{% if message['role'] == 'user' %}
|
| 3 |
+
{{ '<|user|>
|
| 4 |
+
' + message['content'] + eos_token }}
|
| 5 |
+
{% elif message['role'] == 'system' %}
|
| 6 |
+
{{ '<|system|>
|
| 7 |
+
' + message['content'] + eos_token }}
|
| 8 |
+
{% elif message['role'] == 'assistant' %}
|
| 9 |
+
{{ '<|assistant|>
|
| 10 |
+
' + message['content'] + eos_token }}
|
| 11 |
+
{% endif %}
|
| 12 |
+
{% if loop.last and add_generation_prompt %}
|
| 13 |
+
{{ '<|assistant|>' }}
|
| 14 |
+
{% endif %}
|
| 15 |
+
{% endfor %}
|