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Model: jackf857/llama-3-8b-base-kto-ultrafeedback-8xh200 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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base_model: W-61/llama-3-8b-base-sft-ultrachat-8xh200
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tags:
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- alignment-handbook
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- kto
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- generated_from_trainer
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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model-index:
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- name: llama-3-8b-base-kto-ultrafeedback-8xh200
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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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# llama-3-8b-base-kto-ultrafeedback-8xh200
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This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-ultrachat-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-ultrachat-8xh200) on the HuggingFaceH4/ultrafeedback_binarized dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3658
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- Rewards/chosen: 0.1622
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- Logps/chosen: -286.2337
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- Rewards/rejected: -2.5444
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- Logps/rejected: -292.3963
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- Rewards/margins: 2.7066
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- Kl: 0.0
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- Logits/chosen: -140467840.0
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- Logits/rejected: -139209600.0
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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: 5e-07
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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: 4
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- total_train_batch_size: 128
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- total_eval_batch_size: 32
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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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Logps/chosen | Rewards/rejected | Logps/rejected | Rewards/margins | Kl | Logits/chosen | Logits/rejected |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:------------:|:----------------:|:--------------:|:---------------:|:---:|:-------------:|:---------------:|
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| 1.5841 | 0.2094 | 200 | 0.3971 | -0.1699 | -289.5548 | -1.7146 | -284.0978 | 1.5447 | 0.0 | -151004736.0 | -149476768.0 |
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| 1.404 | 0.4188 | 400 | 0.3773 | -0.0342 | -288.1983 | -2.3874 | -290.8255 | 2.3531 | 0.0 | -143785152.0 | -142386976.0 |
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| 1.4253 | 0.6283 | 600 | 0.3684 | -0.3211 | -291.0670 | -3.1407 | -298.3589 | 2.8196 | 0.0 | -145117536.0 | -143700400.0 |
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| 1.4432 | 0.8377 | 800 | 0.3658 | 0.1622 | -286.2337 | -2.5444 | -292.3963 | 2.7066 | 0.0 | -140467840.0 | -139209600.0 |
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### Framework versions
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- Transformers 4.51.0
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.21.4
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all_results.json
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all_results.json
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{
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"epoch": 1.0,
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"eval_kl": 0.0,
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"eval_logits/chosen": -141123088.0,
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"eval_logits/rejected": -139890512.0,
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"eval_logps/chosen": -287.08896875,
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"eval_logps/rejected": -293.79315625,
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"eval_loss": 0.3648396134376526,
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"eval_rewards/chosen": 0.0766905059814453,
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"eval_rewards/margins": 2.760806716918945,
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"eval_rewards/rejected": -2.6841162109375,
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"eval_runtime": 92.6279,
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"eval_samples": 4000,
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"eval_samples_per_second": 43.184,
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"eval_steps_per_second": 1.349,
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"total_flos": 0.0,
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"train_loss": 1.5426912418834826,
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"train_runtime": 5367.6535,
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"train_samples": 122270,
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"train_samples_per_second": 22.779,
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"train_steps_per_second": 0.178
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}
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"use_cache": true,
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"vocab_size": 128256
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}
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eval_results.json
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"eval_kl": 0.0,
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"eval_logits/chosen": -141123088.0,
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"eval_logits/rejected": -139890512.0,
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"eval_logps/chosen": -287.08896875,
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"eval_logps/rejected": -293.79315625,
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"eval_loss": 0.3648396134376526,
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"eval_rewards/chosen": 0.0766905059814453,
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"eval_rewards/margins": 2.760806716918945,
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"eval_rewards/rejected": -2.6841162109375,
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"eval_runtime": 92.6279,
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"eval_samples": 4000,
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"eval_samples_per_second": 43.184,
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"eval_steps_per_second": 1.349
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}
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"temperature": 0.6,
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"top_p": 0.9,
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"transformers_version": "4.51.0"
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|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:3c5cf44023714fb39b05e71e425f8d7b92805ff73f7988b083b8c87f0bf87393
|
||||
size 17209961
|
||||
2064
tokenizer_config.json
Normal file
2064
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
9
train_results.json
Normal file
9
train_results.json
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"epoch": 1.0,
|
||||
"total_flos": 0.0,
|
||||
"train_loss": 1.5426912418834826,
|
||||
"train_runtime": 5367.6535,
|
||||
"train_samples": 122270,
|
||||
"train_samples_per_second": 22.779,
|
||||
"train_steps_per_second": 0.178
|
||||
}
|
||||
1547
trainer_state.json
Normal file
1547
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user