Training in progress, step 50, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: migtissera/Tess-v2.5-Phi-3-medium-128k-14B
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,31 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "migtissera/Tess-v2.5-Phi-3-medium-128k-14B",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "gate_up_proj",
+    "qkv_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2cece2e0d04d1e693e8d27fd443e243edce9f89dd096305cb13eb1004a6923e2
+size 222865880

last-checkpoint/added_tokens.json

@@ -0,0 +1,16 @@
+{
+  "<|assistant|>": 32001,
+  "<|end_of_text|>": 32012,
+  "<|endoftext|>": 32000,
+  "<|end|>": 32007,
+  "<|im_end|>": 32011,
+  "<|im_start|>": 32013,
+  "<|placeholder1|>": 32002,
+  "<|placeholder2|>": 32003,
+  "<|placeholder3|>": 32004,
+  "<|placeholder4|>": 32005,
+  "<|placeholder5|>": 32008,
+  "<|placeholder6|>": 32009,
+  "<|system|>": 32006,
+  "<|user|>": 32010
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e64c7c5a57c9760908d645241f3cd948b973586f752eee94bf60dc4ddcce199e
+size 445914554

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:13225039970d62368a8d7fe9637ca29897b393accd9919b6f5928823c25bb9a0
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7ad2841b888ce0ae948634757c3fcacf0119c249e0fec8f3ca61ea266369ef92
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|end_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
+size 499723

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,156 @@
+{
+  "add_bos_token": false,
+  "add_eos_token": false,
+  "add_prefix_space": true,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32000": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32001": {
+      "content": "<|assistant|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32002": {
+      "content": "<|placeholder1|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32003": {
+      "content": "<|placeholder2|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32004": {
+      "content": "<|placeholder3|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32005": {
+      "content": "<|placeholder4|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32006": {
+      "content": "<|system|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "<|end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "<|placeholder5|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "<|placeholder6|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "<|user|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": true,
+      "single_word": false,
+      "special": true
+    },
+    "32011": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32012": {
+      "content": "<|end_of_text|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32013": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "legacy": false,
+  "model_max_length": 131072,
+  "pad_token": "<|end_of_text|>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,416 @@
+{
+  "best_metric": 0.33410218358039856,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.012825445684237527,
+  "eval_steps": 25,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.00025650891368475054,
+      "grad_norm": 0.2452760636806488,
+      "learning_rate": 2.9999999999999997e-05,
+      "loss": 1.4425,
+      "step": 1
+    },
+    {
+      "epoch": 0.00025650891368475054,
+      "eval_loss": 0.39530715346336365,
+      "eval_runtime": 31.6895,
+      "eval_samples_per_second": 1.578,
+      "eval_steps_per_second": 0.221,
+      "step": 1
+    },
+    {
+      "epoch": 0.0005130178273695011,
+      "grad_norm": 0.17752642929553986,
+      "learning_rate": 5.9999999999999995e-05,
+      "loss": 1.299,
+      "step": 2
+    },
+    {
+      "epoch": 0.0007695267410542517,
+      "grad_norm": 0.24689655005931854,
+      "learning_rate": 8.999999999999999e-05,
+      "loss": 1.5197,
+      "step": 3
+    },
+    {
+      "epoch": 0.0010260356547390022,
+      "grad_norm": 0.19504807889461517,
+      "learning_rate": 0.00011999999999999999,
+      "loss": 1.3453,
+      "step": 4
+    },
+    {
+      "epoch": 0.0012825445684237528,
+      "grad_norm": 0.1986263245344162,
+      "learning_rate": 0.00015,
+      "loss": 1.3429,
+      "step": 5
+    },
+    {
+      "epoch": 0.0015390534821085034,
+      "grad_norm": 0.310422420501709,
+      "learning_rate": 0.00017999999999999998,
+      "loss": 1.3507,
+      "step": 6
+    },
+    {
+      "epoch": 0.0017955623957932538,
+      "grad_norm": 0.2197422981262207,
+      "learning_rate": 0.00020999999999999998,
+      "loss": 1.3089,
+      "step": 7
+    },
+    {
+      "epoch": 0.0020520713094780044,
+      "grad_norm": 0.22613106667995453,
+      "learning_rate": 0.00023999999999999998,
+      "loss": 1.161,
+      "step": 8
+    },
+    {
+      "epoch": 0.002308580223162755,
+      "grad_norm": 0.2758508026599884,
+      "learning_rate": 0.00027,
+      "loss": 1.3218,
+      "step": 9
+    },
+    {
+      "epoch": 0.0025650891368475055,
+      "grad_norm": 0.24372389912605286,
+      "learning_rate": 0.0003,
+      "loss": 1.2277,
+      "step": 10
+    },
+    {
+      "epoch": 0.002821598050532256,
+      "grad_norm": 0.24940873682498932,
+      "learning_rate": 0.0002999794957488703,
+      "loss": 1.1953,
+      "step": 11
+    },
+    {
+      "epoch": 0.0030781069642170067,
+      "grad_norm": 0.23299287259578705,
+      "learning_rate": 0.0002999179886011389,
+      "loss": 1.1864,
+      "step": 12
+    },
+    {
+      "epoch": 0.003334615877901757,
+      "grad_norm": 0.20366379618644714,
+      "learning_rate": 0.0002998154953722457,
+      "loss": 1.2584,
+      "step": 13
+    },
+    {
+      "epoch": 0.0035911247915865075,
+      "grad_norm": 0.2235558032989502,
+      "learning_rate": 0.00029967204408281613,
+      "loss": 1.1625,
+      "step": 14
+    },
+    {
+      "epoch": 0.003847633705271258,
+      "grad_norm": 0.198708176612854,
+      "learning_rate": 0.00029948767395100045,
+      "loss": 1.1748,
+      "step": 15
+    },
+    {
+      "epoch": 0.004104142618956009,
+      "grad_norm": 0.1967567503452301,
+      "learning_rate": 0.0002992624353817517,
+      "loss": 1.1347,
+      "step": 16
+    },
+    {
+      "epoch": 0.004360651532640759,
+      "grad_norm": 0.15366947650909424,
+      "learning_rate": 0.0002989963899530457,
+      "loss": 1.0114,
+      "step": 17
+    },
+    {
+      "epoch": 0.00461716044632551,
+      "grad_norm": 0.18661633133888245,
+      "learning_rate": 0.00029868961039904624,
+      "loss": 1.2625,
+      "step": 18
+    },
+    {
+      "epoch": 0.00487366936001026,
+      "grad_norm": 3.7823309898376465,
+      "learning_rate": 0.00029834218059022024,
+      "loss": 1.2615,
+      "step": 19
+    },
+    {
+      "epoch": 0.005130178273695011,
+      "grad_norm": 0.20137062668800354,
+      "learning_rate": 0.00029795419551040833,
+      "loss": 1.27,
+      "step": 20
+    },
+    {
+      "epoch": 0.005386687187379761,
+      "grad_norm": 0.18843530118465424,
+      "learning_rate": 0.00029752576123085736,
+      "loss": 1.0947,
+      "step": 21
+    },
+    {
+      "epoch": 0.005643196101064512,
+      "grad_norm": 0.17115682363510132,
+      "learning_rate": 0.0002970569948812214,
+      "loss": 1.1604,
+      "step": 22
+    },
+    {
+      "epoch": 0.0058997050147492625,
+      "grad_norm": 0.17423115670681,
+      "learning_rate": 0.0002965480246175399,
+      "loss": 1.2279,
+      "step": 23
+    },
+    {
+      "epoch": 0.0061562139284340135,
+      "grad_norm": 0.20533309876918793,
+      "learning_rate": 0.0002959989895872009,
+      "loss": 1.3852,
+      "step": 24
+    },
+    {
+      "epoch": 0.006412722842118764,
+      "grad_norm": 0.19516155123710632,
+      "learning_rate": 0.0002954100398908995,
+      "loss": 1.3035,
+      "step": 25
+    },
+    {
+      "epoch": 0.006412722842118764,
+      "eval_loss": 0.3231082558631897,
+      "eval_runtime": 31.8559,
+      "eval_samples_per_second": 1.57,
+      "eval_steps_per_second": 0.22,
+      "step": 25
+    },
+    {
+      "epoch": 0.006669231755803514,
+      "grad_norm": 0.3001914322376251,
+      "learning_rate": 0.0002947813365416023,
+      "loss": 1.3519,
+      "step": 26
+    },
+    {
+      "epoch": 0.006925740669488265,
+      "grad_norm": 0.2448321133852005,
+      "learning_rate": 0.0002941130514205272,
+      "loss": 1.3134,
+      "step": 27
+    },
+    {
+      "epoch": 0.007182249583173015,
+      "grad_norm": 0.21013857424259186,
+      "learning_rate": 0.0002934053672301536,
+      "loss": 1.1908,
+      "step": 28
+    },
+    {
+      "epoch": 0.007438758496857766,
+      "grad_norm": 0.2920572757720947,
+      "learning_rate": 0.00029265847744427303,
+      "loss": 1.2764,
+      "step": 29
+    },
+    {
+      "epoch": 0.007695267410542516,
+      "grad_norm": 0.23325499892234802,
+      "learning_rate": 0.00029187258625509513,
+      "loss": 1.2081,
+      "step": 30
+    },
+    {
+      "epoch": 0.007951776324227267,
+      "grad_norm": 0.24203185737133026,
+      "learning_rate": 0.00029104790851742417,
+      "loss": 1.2996,
+      "step": 31
+    },
+    {
+      "epoch": 0.008208285237912017,
+      "grad_norm": 0.20244275033473969,
+      "learning_rate": 0.0002901846696899191,
+      "loss": 1.2741,
+      "step": 32
+    },
+    {
+      "epoch": 0.008464794151596768,
+      "grad_norm": 0.24007591605186462,
+      "learning_rate": 0.00028928310577345606,
+      "loss": 1.2926,
+      "step": 33
+    },
+    {
+      "epoch": 0.008721303065281518,
+      "grad_norm": 2.9329335689544678,
+      "learning_rate": 0.0002883434632466077,
+      "loss": 1.3904,
+      "step": 34
+    },
+    {
+      "epoch": 0.00897781197896627,
+      "grad_norm": 0.2622990906238556,
+      "learning_rate": 0.00028736599899825856,
+      "loss": 1.3224,
+      "step": 35
+    },
+    {
+      "epoch": 0.00923432089265102,
+      "grad_norm": 0.3389492630958557,
+      "learning_rate": 0.00028635098025737434,
+      "loss": 1.3022,
+      "step": 36
+    },
+    {
+      "epoch": 0.00949082980633577,
+      "grad_norm": 0.3291040062904358,
+      "learning_rate": 0.00028529868451994384,
+      "loss": 1.3772,
+      "step": 37
+    },
+    {
+      "epoch": 0.00974733872002052,
+      "grad_norm": 0.29008948802948,
+      "learning_rate": 0.0002842093994731145,
+      "loss": 1.3874,
+      "step": 38
+    },
+    {
+      "epoch": 0.010003847633705272,
+      "grad_norm": 0.2444349229335785,
+      "learning_rate": 0.00028308342291654174,
+      "loss": 1.3194,
+      "step": 39
+    },
+    {
+      "epoch": 0.010260356547390022,
+      "grad_norm": 0.2349006086587906,
+      "learning_rate": 0.00028192106268097334,
+      "loss": 1.2226,
+      "step": 40
+    },
+    {
+      "epoch": 0.010516865461074772,
+      "grad_norm": 0.3519050180912018,
+      "learning_rate": 0.00028072263654409154,
+      "loss": 1.2642,
+      "step": 41
+    },
+    {
+      "epoch": 0.010773374374759523,
+      "grad_norm": 3.122650384902954,
+      "learning_rate": 0.0002794884721436361,
+      "loss": 1.3993,
+      "step": 42
+    },
+    {
+      "epoch": 0.011029883288444273,
+      "grad_norm": 0.4444164037704468,
+      "learning_rate": 0.00027821890688783083,
+      "loss": 1.2325,
+      "step": 43
+    },
+    {
+      "epoch": 0.011286392202129025,
+      "grad_norm": 0.3635028302669525,
+      "learning_rate": 0.0002769142878631403,
+      "loss": 1.2689,
+      "step": 44
+    },
+    {
+      "epoch": 0.011542901115813775,
+      "grad_norm": 0.5229223370552063,
+      "learning_rate": 0.00027557497173937923,
+      "loss": 1.3902,
+      "step": 45
+    },
+    {
+      "epoch": 0.011799410029498525,
+      "grad_norm": 0.6191115379333496,
+      "learning_rate": 0.000274201324672203,
+      "loss": 1.4242,
+      "step": 46
+    },
+    {
+      "epoch": 0.012055918943183275,
+      "grad_norm": 1.497909665107727,
+      "learning_rate": 0.00027279372220300385,
+      "loss": 1.7142,
+      "step": 47
+    },
+    {
+      "epoch": 0.012312427856868027,
+      "grad_norm": 1.673071026802063,
+      "learning_rate": 0.0002713525491562421,
+      "loss": 1.6996,
+      "step": 48
+    },
+    {
+      "epoch": 0.012568936770552777,
+      "grad_norm": 7.249523639678955,
+      "learning_rate": 0.00026987819953423867,
+      "loss": 1.9288,
+      "step": 49
+    },
+    {
+      "epoch": 0.012825445684237527,
+      "grad_norm": 6.95615816116333,
+      "learning_rate": 0.00026837107640945905,
+      "loss": 2.1629,
+      "step": 50
+    },
+    {
+      "epoch": 0.012825445684237527,
+      "eval_loss": 0.33410218358039856,
+      "eval_runtime": 31.8447,
+      "eval_samples_per_second": 1.57,
+      "eval_steps_per_second": 0.22,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 200,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 1,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.7850713268224e+17,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:94d623c2594a63d0958f63f0d29a16ef9068c7cbc231ae6e7254b64ef1c8cadc
+size 6840