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README.md +98 -0
config.json +29 -0
generation_config.json +7 -0
model.safetensors +3 -0
special_tokens_map.json +24 -0
tokenizer.json +0 -0
tokenizer.model +3 -0
tokenizer_config.json +41 -0
training_args.bin +3 -0

README.md ADDED Viewed

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+---
+license: apache-2.0
+base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+tags:
+- xcomet_xl_xxl
+- generated_from_trainer
+model-index:
+- name: cpo-xcomet-xl_xxl-inc7b-10p-shuff-5e-7-full-tiny
+  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. -->
+# cpo-xcomet-xl_xxl-inc7b-10p-shuff-5e-7-full-tiny
+This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the Unbabel/TowerAligned-v0.1 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5861
+- Nll Loss: 0.9631
+- Logps/best: -93.9342
+- Rewards/chosen: -9.3934
+- Rewards/rejected: -8.9617
+- Rewards/accuracies: 0.4760
+- Rewards/margins: -0.4317
+- Logps/rejected: -89.6171
+- Logps/chosen: -93.9342
+- Logits/rejected: -1.8016
+- Logits/chosen: -1.9358
+## 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: 4
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss | Nll Loss | Logps/best | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 2.9692        | 0.1063 | 100  | 2.8057          | 1.0649   | -103.2722  | -10.3272       | -9.7340          | 0.4600             | -0.5932         | -97.3398       | -103.2722    | -1.8268         | -1.9640       |
+| 3.0031        | 0.2127 | 200  | 2.7925          | 1.0588   | -102.7081  | -10.2708       | -9.6860          | 0.4580             | -0.5848         | -96.8598       | -102.7081    | -1.8260         | -1.9630       |
+| 2.7823        | 0.3190 | 300  | 2.7675          | 1.0456   | -101.5052  | -10.1505       | -9.5824          | 0.4600             | -0.5681         | -95.8241       | -101.5052    | -1.8242         | -1.9611       |
+| 2.8692        | 0.4254 | 400  | 2.7382          | 1.0320   | -100.2503  | -10.0250       | -9.4771          | 0.4580             | -0.5479         | -94.7710       | -100.2503    | -1.8210         | -1.9575       |
+| 3.1882        | 0.5317 | 500  | 2.7126          | 1.0203   | -99.1754   | -9.9175        | -9.3884          | 0.4580             | -0.5291         | -93.8843       | -99.1754     | -1.8185         | -1.9548       |
+| 2.8104        | 0.6381 | 600  | 2.6920          | 1.0101   | -98.2426   | -9.8243        | -9.3098          | 0.4640             | -0.5144         | -93.0982       | -98.2426     | -1.8161         | -1.9520       |
+| 3.127         | 0.7444 | 700  | 2.6735          | 1.0018   | -97.4806   | -9.7481        | -9.2466          | 0.4680             | -0.5015         | -92.4660       | -97.4806     | -1.8148         | -1.9505       |
+| 2.5488        | 0.8508 | 800  | 2.6599          | 0.9951   | -96.8657   | -9.6866        | -9.1952          | 0.4640             | -0.4914         | -91.9516       | -96.8657     | -1.8113         | -1.9467       |
+| 2.9106        | 0.9571 | 900  | 2.6461          | 0.9892   | -96.3278   | -9.6328        | -9.1532          | 0.4700             | -0.4795         | -91.5325       | -96.3278     | -1.8107         | -1.9459       |
+| 2.7349        | 1.0635 | 1000 | 2.6355          | 0.9845   | -95.8978   | -9.5898        | -9.1181          | 0.4660             | -0.4717         | -91.1811       | -95.8978     | -1.8091         | -1.9442       |
+| 2.607         | 1.1698 | 1100 | 2.6258          | 0.9802   | -95.4924   | -9.5492        | -9.0851          | 0.4660             | -0.4642         | -90.8505       | -95.4924     | -1.8079         | -1.9429       |
+| 2.5949        | 1.2762 | 1200 | 2.6187          | 0.9772   | -95.2189   | -9.5219        | -9.0638          | 0.4660             | -0.4581         | -90.6378       | -95.2189     | -1.8067         | -1.9415       |
+| 3.0028        | 1.3825 | 1300 | 2.6133          | 0.9745   | -94.9713   | -9.4971        | -9.0415          | 0.4660             | -0.4556         | -90.4151       | -94.9713     | -1.8062         | -1.9409       |
+| 2.5891        | 1.4889 | 1400 | 2.6075          | 0.9720   | -94.7468   | -9.4747        | -9.0242          | 0.4700             | -0.4505         | -90.2418       | -94.7468     | -1.8062         | -1.9409       |
+| 2.5647        | 1.5952 | 1500 | 2.6035          | 0.9701   | -94.5637   | -9.4564        | -9.0103          | 0.4640             | -0.4460         | -90.1033       | -94.5637     | -1.8044         | -1.9389       |
+| 2.566         | 1.7016 | 1600 | 2.5974          | 0.9682   | -94.3869   | -9.4387        | -8.9984          | 0.4660             | -0.4403         | -89.9837       | -94.3869     | -1.8037         | -1.9382       |
+| 2.4615        | 1.8079 | 1700 | 2.5960          | 0.9672   | -94.3052   | -9.4305        | -8.9899          | 0.4760             | -0.4406         | -89.8987       | -94.3052     | -1.8029         | -1.9373       |
+| 2.5336        | 1.9143 | 1800 | 2.5936          | 0.9662   | -94.2071   | -9.4207        | -8.9834          | 0.4700             | -0.4373         | -89.8344       | -94.2071     | -1.8026         | -1.9369       |
+| 2.7186        | 2.0206 | 1900 | 2.5908          | 0.9653   | -94.1252   | -9.4125        | -8.9777          | 0.4820             | -0.4349         | -89.7766       | -94.1252     | -1.8021         | -1.9364       |
+| 2.6496        | 2.1270 | 2000 | 2.5912          | 0.9646   | -94.0712   | -9.4071        | -8.9704          | 0.4700             | -0.4367         | -89.7039       | -94.0712     | -1.8020         | -1.9363       |
+| 2.4786        | 2.2333 | 2100 | 2.5882          | 0.9642   | -94.0305   | -9.4031        | -8.9690          | 0.4820             | -0.4340         | -89.6904       | -94.0305     | -1.8022         | -1.9365       |
+| 2.5261        | 2.3396 | 2200 | 2.5871          | 0.9636   | -93.9762   | -9.3976        | -8.9653          | 0.4720             | -0.4323         | -89.6528       | -93.9762     | -1.8015         | -1.9357       |
+| 2.4197        | 2.4460 | 2300 | 2.5855          | 0.9634   | -93.9605   | -9.3961        | -8.9653          | 0.4720             | -0.4308         | -89.6529       | -93.9605     | -1.8015         | -1.9357       |
+| 2.9723        | 2.5523 | 2400 | 2.5863          | 0.9633   | -93.9504   | -9.3950        | -8.9631          | 0.4760             | -0.4319         | -89.6311       | -93.9504     | -1.8016         | -1.9358       |
+| 2.4721        | 2.6587 | 2500 | 2.5864          | 0.9634   | -93.9537   | -9.3954        | -8.9651          | 0.4740             | -0.4302         | -89.6514       | -93.9537     | -1.8014         | -1.9356       |
+| 2.8984        | 2.7650 | 2600 | 2.5856          | 0.9630   | -93.9154   | -9.3915        | -8.9610          | 0.4700             | -0.4305         | -89.6100       | -93.9154     | -1.8014         | -1.9356       |
+| 3.0422        | 2.8714 | 2700 | 2.5848          | 0.9630   | -93.9148   | -9.3915        | -8.9617          | 0.4800             | -0.4298         | -89.6169       | -93.9148     | -1.8015         | -1.9357       |
+| 2.6226        | 2.9777 | 2800 | 2.5861          | 0.9631   | -93.9342   | -9.3934        | -8.9617          | 0.4760             | -0.4317         | -89.6171       | -93.9342     | -1.8016         | -1.9358       |
+### Framework versions
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

config.json ADDED Viewed

	@@ -0,0 +1,29 @@

+{
+  "_name_or_path": "TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json ADDED Viewed

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "4.41.2"
+}

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special_tokens_map.json ADDED Viewed

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+{
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
+  }
+}

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tokenizer_config.json ADDED Viewed

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+{
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+  "clean_up_tokenization_spaces": false,
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+  "legacy": false,
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+  "pad_token": "[PAD]",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

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