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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

.ipynb_checkpoints/README-checkpoint.md

@@ -0,0 +1,74 @@
+---
+library_name: transformers
+license: other
+base_model: inflatebot/MN-12B-Mag-Mell-R1
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: sft
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# sft
+
+This model is a fine-tuned version of [inflatebot/MN-12B-Mag-Mell-R1](https://huggingface.co/inflatebot/MN-12B-Mag-Mell-R1) on the kto_rp dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3763
+- Rewards/chosen: 0.6433
+- Logps/chosen: -219.3819
+- Logits/chosen: -923703389.9450
+- Rewards/rejected: -1.3013
+- Logps/rejected: -231.1543
+- Logits/rejected: -831308124.5957
+- Rewards/margins: 1.9446
+- Kl: 0.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-07
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 4
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Logps/chosen | Logits/chosen   | Rewards/rejected | Logps/rejected | Logits/rejected | Rewards/margins |     |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:------------:|:---------------:|:----------------:|:--------------:|:---------------:|:---------------:|:---:|
+| 0.3079        | 0.8421 | 500  | 0.3781          | 0.8047         | -217.7675    | -922359676.4771 | -1.0247          | -228.3881      | -826945158.3546 | 1.8294          | 0.0 |
+
+
+### Framework versions
+
+- Transformers 4.55.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

README.md

@@ -0,0 +1,74 @@
+---
+library_name: transformers
+license: other
+base_model: inflatebot/MN-12B-Mag-Mell-R1
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: sft
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# sft
+
+This model is a fine-tuned version of [inflatebot/MN-12B-Mag-Mell-R1](https://huggingface.co/inflatebot/MN-12B-Mag-Mell-R1) on the kto_rp dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3763
+- Rewards/chosen: 0.6433
+- Logps/chosen: -219.3819
+- Logits/chosen: -923703389.9450
+- Rewards/rejected: -1.3013
+- Logps/rejected: -231.1543
+- Logits/rejected: -831308124.5957
+- Rewards/margins: 1.9446
+- Kl: 0.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-07
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 4
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Logps/chosen | Logits/chosen   | Rewards/rejected | Logps/rejected | Logits/rejected | Rewards/margins |     |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:------------:|:---------------:|:----------------:|:--------------:|:---------------:|:---------------:|:---:|
+| 0.3079        | 0.8421 | 500  | 0.3781          | 0.8047         | -217.7675    | -922359676.4771 | -1.0247          | -228.3881      | -826945158.3546 | 1.8294          | 0.0 |
+
+
+### Framework versions
+
+- Transformers 4.55.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

all_results.json

@@ -0,0 +1,20 @@
+{
+    "epoch": 1.0,
+    "eval_logits/chosen": -923703389.9449542,
+    "eval_logits/rejected": -831308124.5957447,
+    "eval_logps/chosen": -219.38191657110093,
+    "eval_logps/rejected": -231.15425531914894,
+    "eval_loss": 0.37631505727767944,
+    "eval_rewards/chosen": 0.6432788393913059,
+    "eval_rewards/margins": 1.9445905758025428,
+    "eval_rewards/rejected": -1.3013117364112368,
+    "eval_runtime": 1556.3946,
+    "eval_samples_per_second": 0.643,
+    "eval_steps_per_second": 0.161,
+    "kl": 0.0,
+    "total_flos": 2.3597531637009613e+17,
+    "train_loss": 0.4100885201333348,
+    "train_runtime": 53730.3673,
+    "train_samples_per_second": 0.354,
+    "train_steps_per_second": 0.011
+}

chat_template.jinja

@@ -0,0 +1,7 @@
+{% 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 %}{{ '<|im_start|>system
+' + system_message + '<|im_end|>
+' }}{% endif %}{% for message in loop_messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ '<|im_start|>user
+' + content + '<|im_end|>
+<|im_start|>assistant
+' }}{% elif message['role'] == 'assistant' %}{{ content + '<|im_end|>
+' }}{% endif %}{% endfor %}

config.json

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+{
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 15,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 1024000,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 40,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.55.0",
+  "use_cache": false,
+  "vocab_size": 131072
+}

eval_results.json

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+    "epoch": 1.0,
+    "eval_logits/chosen": -923703389.9449542,
+    "eval_logits/rejected": -831308124.5957447,
+    "eval_logps/chosen": -219.38191657110093,
+    "eval_logps/rejected": -231.15425531914894,
+    "eval_loss": 0.37631505727767944,
+    "eval_rewards/chosen": 0.6432788393913059,
+    "eval_rewards/margins": 1.9445905758025428,
+    "eval_rewards/rejected": -1.3013117364112368,
+    "eval_runtime": 1556.3946,
+    "eval_samples_per_second": 0.643,
+    "eval_steps_per_second": 0.161,
+    "kl": 0.0
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 15,
+  "transformers_version": "4.55.0",
+  "use_cache": false
+}

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