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Model: sathiiiii/polyalign-llama3.2-3b-en-sft Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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license: other
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base_model: meta-llama/Llama-3.2-3B
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: polyalign
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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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# polyalign
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the polyalign_train dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2789
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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: 1e-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: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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- total_eval_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.6334 | 0.3285 | 3000 | 1.2789 |
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| 1.4466 | 0.6570 | 6000 | 1.3238 |
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| 1.3542 | 0.9855 | 9000 | 1.3659 |
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### Framework versions
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- Transformers 4.56.2
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- Pytorch 2.9.1+rocm6.3
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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{{ '<|begin_of_text|>' }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% else %}{% set loop_messages = messages %}{% endif %}{% if system_message is defined %}{{ '<|start_header_id|>system<|end_header_id|>
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' + system_message + '<|eot_id|>' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|start_header_id|>user<|end_header_id|>
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' + content + '<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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' }}{% elif message['role'] == 'assistant' %}{{ content + '<|eot_id|>' }}{% endif %}{% endfor %}
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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"intermediate_size": 8192,
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"rope_type": "llama3"
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||||
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|
||||
26
special_tokens_map.json
Normal file
26
special_tokens_map.json
Normal file
@@ -0,0 +1,26 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
{
|
||||
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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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||||
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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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||||
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|
||||
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|
||||
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|
||||
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|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
2068
tokenizer_config.json
Normal file
2068
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:92cd491729c1c51d1d4d166e28d879035ab3758dae164add0654754eda704698
|
||||
size 8017
|
||||
Reference in New Issue
Block a user