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Browse files- README.md +59 -0
- all_results.json +8 -0
- config.json +30 -0
- generation_config.json +6 -0
- model-00001-of-00019.safetensors +3 -0
- model-00002-of-00019.safetensors +3 -0
- model-00003-of-00019.safetensors +3 -0
- model-00004-of-00019.safetensors +3 -0
- model-00005-of-00019.safetensors +3 -0
- model-00006-of-00019.safetensors +3 -0
- model-00007-of-00019.safetensors +3 -0
- model-00008-of-00019.safetensors +3 -0
- model-00009-of-00019.safetensors +3 -0
- model-00010-of-00019.safetensors +3 -0
- model-00011-of-00019.safetensors +3 -0
- model-00012-of-00019.safetensors +3 -0
- model-00013-of-00019.safetensors +3 -0
- model-00014-of-00019.safetensors +3 -0
- model-00015-of-00019.safetensors +3 -0
- model-00016-of-00019.safetensors +3 -0
- model-00017-of-00019.safetensors +3 -0
- model-00018-of-00019.safetensors +3 -0
- model-00019-of-00019.safetensors +3 -0
- model.safetensors.index.json +1002 -0
- runs/Apr16_09-58-18_ggpu159/events.out.tfevents.1713254855.ggpu159.2274579.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
- train_results.json +8 -0
- trainer_state.json +1974 -0
- training_args.bin +3 -0
README.md
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---
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base_model: mistralai/Mixtral-8x7B-v0.1
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tags:
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- maxidl/distilabel-capybara-dpo-7k-binarized_en_de
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model-index:
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- name: Mixtral-8x7B-orpo-en-de
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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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# Mixtral-8x7B-orpo-en-de
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This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the maxidl/distilabel-capybara-dpo-7k-binarized_en_de dataset.
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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-06
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 32
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- total_train_batch_size: 32
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- total_eval_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: inverse_sqrt
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 3
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### Training results
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.7946326331969004,
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"train_runtime": 13847.9433,
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"train_samples": 11530,
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"train_samples_per_second": 2.498,
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"train_steps_per_second": 0.078
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}
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config.json
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{
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"_name_or_path": "mistralai/Mixtral-8x7B-v0.1",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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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": 32768,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"num_local_experts": 8,
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"output_router_logits": false,
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"rms_norm_eps": 1e-05,
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"rope_theta": 1000000.0,
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"router_aux_loss_coef": 0.02,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.3",
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"use_cache": true,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.39.3"
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}
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model-00001-of-00019.safetensors
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| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 93405585408
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00019-of-00019.safetensors",
|
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ADDED
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tokenizer.model
ADDED
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ADDED
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1083,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.03,
|
| 13 |
+
"grad_norm": 129536.0,
|
| 14 |
+
"learning_rate": 5.000000000000001e-07,
|
| 15 |
+
"log_odds_chosen": 0.2670513093471527,
|
| 16 |
+
"log_odds_ratio": -0.5927332043647766,
|
| 17 |
+
"logits/chosen": 4.400671482086182,
|
| 18 |
+
"logits/rejected": 4.455313682556152,
|
| 19 |
+
"logps/chosen": -0.7621899843215942,
|
| 20 |
+
"logps/rejected": -0.9112717509269714,
|
| 21 |
+
"loss": 1.7067,
|
| 22 |
+
"nll_loss": 1.2433254718780518,
|
| 23 |
+
"rewards/accuracies": 0.699999988079071,
|
| 24 |
+
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 5304
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